{"id":199902,"date":"2013-09-10T10:49:32","date_gmt":"2013-09-10T17:49:32","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/events\/microsoft-indoor-localization-competition-ipsn-2014\/"},"modified":"2025-08-06T12:02:01","modified_gmt":"2025-08-06T19:02:01","slug":"microsoft-indoor-localization-competition-ipsn-2014","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2014\/","title":{"rendered":"Microsoft Indoor Localization Competition &#8211; IPSN 2014"},"content":{"rendered":"\n\n<p><strong>Contact:<\/strong> For questions about the competition, please email <a href=\"mailto:dlymper@microsoft.com\">dlymper@microsoft.com<\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-255144\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-1024x312.jpg\" alt=\"ipsn2014\" width=\"1024\" height=\"312\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-1024x312.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-300x91.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-768x234.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance in the same space.<\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6538\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6538\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6537\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOrganizers\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6537\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6538\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlymper\/\">Dimitrios Lymberopoulos<\/a> (Microsoft Research)<\/li>\n<li>Romit Roy Choudhury (UIUC)<\/li>\n<li>Xue Yang (Intel Labs)<\/li>\n<li>Souvik Sen (HP Labs)<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6540\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6540\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6539\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOther Competitions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6539\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6540\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Check the\u00a0other competition\u2019s websites above\u00a0to get a better idea of the evaluation setup, the type of systems expected, and pictures of the different teams in action.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Indoor Localization Competition<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\">2015 Indoor Localization Competition<\/a><\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p align=\"justify\">The competition is on! We are happy to announce that we have received <strong>36 submissions from 32 teams spanning academia, industry, and startups!<\/strong><\/p>\n<p align=\"justify\"><strong>21 teams with 22 different approaches eventually showed up for the competition<\/strong>. The final ranking for all teams can be found in the table below. Teams in <span style=\"color: #0078d7\">blue <\/span>belong to the infrastructure-based category, while teams in <span style=\"color: #bad80a\">green<\/span> belong to the infrastructure-free category. Congratulations to all the participants! It was a blast!<\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6542\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6542\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6541\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOverview\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6541\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6542\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p align=\"justify\"><span style=\"color: #0078d7\"><strong>An overview of the results along with some pictures from the event can also been found <a style=\"color: #0078d7\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationpanelreleased.pptx\" target=\"_self\"><strong>here<\/strong><\/a><\/strong>.<\/span><\/p>\n<p align=\"justify\"><span style=\"color: #0078d7\"><strong>* <\/strong>Submissions from Adler et al. and Li et al. achieved almost identical location errors (2.034m vs. 2.039m). Given the small difference, we considered this to be a tie, and according to the rules of the competition, the team that deployed the least number of anchor points wins. Li et al. deployed 5 LED lamps (out of the maximum 10 they could deploy), and were therefore awarded the second place in the infrastructure-based category.<\/span><\/p>\n<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderFirstCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Submission<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Avg. Location Error (meters)<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Overall Rank<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderLastCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Category Rank<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_easypoint_submission.pdf\" target=\"_new\">A. Bestmann, R. Reimann (Lamda:4 Entwicklungen GmbH) EasyPoint &#8211; Indoor localization and Navigation Low Cost, Reliable, and Accurate<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>0.72<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_mapume.doc\">M. Klepal, C. Beder (Cork Institute of Technology) MapUme &#8211; WiFi-based Localization System<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.6<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/loc_competition_claoudias.pdf\">C. Laoudias, G. Larkou, D. Zeinalipour-Yazti, C. G. Panayiotou (University of Cyprus) Chin-Lung Li, Yu-Kuen Tsai (Cywee Corporation Ltd) Accurate Multi-Sensor Localization on Android Devices<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.96<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\" target=\"_self\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Visible Light Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.04<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2*<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #0078D7\">S. Adler, S.Schmitt, Y. Yang, Y. Zhao, M. Kyas (Freie Universitat Berlin) FUBLoc &#8211; Accurate Range-based Indoor Localization and Tracking<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.03<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>5<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3*<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn14-alps-demo.pdf\">P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (CMU) ALPS: An Ultrasonic Localization System<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.09<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>6<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_competition_abstract.pdf\">H. Zou, H. Jiang, L. Xie (Nanyang Technological University) WiFi-based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.22<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/winlab_ipsn14_competition_submission.pdf\" target=\"_self\">A. Ashok, C. Xu, M. Gruteser, R. Howard, Y. Zhang, N. Mandayam, W. Yuan, K. Dana (Rutgers University) InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.35<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 5<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nikodem_indoor_localization_competition.pdf\" target=\"_self\">M. Nikodem, S. Bialoskorski (Wroclaw University of Technology) T. Jankowski, D. Legizynski, S. Szymczak (MT-Silesia Sp.) Indoor Localization Based on Low-power Chirp Transceivers<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.58<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"> <strong>6<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nextome.pdf\">V. Dentamaro, D. Colucci, P. Ambrosini (NextoMe) Indoor Positioning and Navigation System<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.72<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 7<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A) An Indoor Location Solution for Mobile Devices<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.81<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>11<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Indoor Localization with Multi-modalities<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.19<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>12<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> A. Marcaletti (ETH), D. Giustiniano (IMDEA Networks), V. Lenders (Armasuisse) Tracking of Mobile Devices with WiFi Time-of-Flight<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.47<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>13<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>6<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoor_competition_submission_zhuoling.pdf\" target=\"_new\">Z. Xiao, H. Wen, A Markham, N. Trigoni (University of Oxford) Indoor Tracking Using Conditional Random Fields<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.71<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>14<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/competition_abstract_abrudan_xiao_markham_trigoni.pdf\" target=\"_new\">T. E. Abrudan, Z. Xiao, A. Markham, N. Trigoni (University of Oxford) IMU-Aided Magneto-inductive Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.83<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>15<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/2014_ipsn_sark.pdf\">V. Sark, E. Grass (Humboldt University of Berlin) A Software-defined Radio for Time Of Flight Based Ranging and Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.87<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>16<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/main.pdf\">G. Pirkl, P. Heveshi, P. Lukowicz (DFKI GmbH, TU) Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.96<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>17<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/greina_tec_localization_entry.pdf\" target=\"_new\">T. Schmid, D. Lee (Greina Technologies, Inc.) High Resolution Indoor RF Ranging<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4.04<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>18<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>11<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/magnwifi.pdf\"> C. Zhang, J. Luo (Nanyang Technological University) J. Wu (Nanjing University) MaWi: A Hybrid Magnetic and WiFi System for Scalable Indoor Localization<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4.86<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>19<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationsystem.doc\">A. Ghose, C. Bhaumik, N. Ahmed, A Agrawal, V. Chandel, A. Kumar, A. Pal (Tata Consultancy Services) UnSupLoc &#8211; A System for Infrastructure Friendly Unsupervised Indoor Localization<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5.23<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>20<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableFooterRow\">\n<td class=\"blueTableFooterFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn.pdf\">Z. Jiang, W. Xi, X.-Y. Li, J. Zhao, J. Han (Illinois Institute of Technology) HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/a><\/p>\n<\/td>\n<td class=\"blueTableFooterOddCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>8.91<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterEvenCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>21<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterLastCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>12<\/strong><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableFooterRow\">\n<td class=\"blueTableFooterFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-selavo.pdf\">L. Selavo, I. Drikis, A Mednis (Institute of Electronics and Computer Science, Latvia) Localization Using Digitally Steerable Antennas<\/a><\/p>\n<\/td>\n<td class=\"blueTableFooterOddCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>10.22<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterEvenCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>22<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterLastCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>13<\/strong><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p align=\"justify\"><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6544\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6544\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6543\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tInfrastructure-Based Submissions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6543\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6544\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<\/p>\n<p align=\"justify\">All submissions have been assigned to one of two categories depending on the requirement to deploy custom hardware or not. The list of all submissions in each category can be seen below.<\/p>\n<p align=\"justify\">All teams highlighted in <span style=\"color: #bad80a\">green<\/span> have successfully registered for the competition and will be allowed to compete. The teams highlighted in <span style=\"color: #e81123\">red<\/span> either withdrew from the competition or did not successfully registered for the competition and will not be allowed to compete.<\/p>\n<p align=\"justify\">The time slot assigned to each team corresponds to the exact time during the evaluation day (Monday, April 14th) that this team will be evaluated. All teams are encouraged to be present at all times to learn about the competing systems and observe them in action. <strong>In any case,<\/strong> <strong>all teams should be in the evaluation area at least 1.5 hours prior to their assigned time slot<\/strong>.<\/p>\n<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong> Authors<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Pirkl et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (Light)<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ashok et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Adler et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">FUBLoc &#8211; Accurate Range-based Indoor Localization and Tracking<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Selavo et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Localization Using Digitally Steerable Antennas<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Bestmann et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">EasyPoint &#8211; Indoor Localization and Navigation Low Cost, Reliable and Accurate<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Schmid et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">High-Resolution Indoor RF Ranging<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ehrig et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A 60GHz System for Simultaneous Time of Flight Ranging and High-Speed Wireless Data Communication<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sark at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A Software Defined Radio for Time of Flight Based Ranging and Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Taylor et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Low-cost Hybrid Indoor Localization with Light Fixtures<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Kleunen et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Locus: Space-based Indoor Positioning<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Lazik et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">ALPS: An Ultrasonic Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Passive Device-Free Indoor Localization from RSSI<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Dentamaro et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Nextome &#8211; Indoor Positioning and Navigation System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Jiang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Abrudan et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">IMU-Aided magneto-inductive Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (iPhone + BLE)<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Nikodem et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Low-Power Chirp Transceivers<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Device-Free Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Yang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A step into mm-scale treatment! Multipath-Resistant Tracking for Mobile RFID Tags<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Brucato et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Modeling and Prototyping a Personal Object Finder. The NEVERLOST Real Time Localization System Use Case<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6546\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6546\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6545\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tInfrastructure-Free Submissions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6545\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6546\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Authors<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ferraz et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Ubee.in &#8211; An Indoor Location Solution for Mobile Devices<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (WiFi + sensors)<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zhang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MaWi: A Hybrid Magnetic and Wi-Fi System for Scalable Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Laoudias at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Accurate Multi-Sensor Localization on Android Devices<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Klepal et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MapUme &#8211; WiFi Based Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Jiang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">FreeLoc: Infrastructure-Free Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">GiPSTech<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A Novel Hybrid\/Geomagnetic Field Based Technology for Indoor Navigation<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zou et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">WiFi Based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Xiao et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Tracking Using Conditional Random Fields<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Yun et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Vision-Based 3D Indoor localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Marcaletti et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Tracking of Mobile Devices with WiFi Time-Of-Flight<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (Android + WiFI)<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ghose et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">UnsupLoc &#8211; A System for infrastructure Friendly Unsupervised Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Quintas et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoor Localization and Tracking Using 802.11 networks and Smartphones<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Ohrt et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Room-Based Indoor Localization using WiFi-Fingerprinting and Machine Learning<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<ol>\n<li><strong>Evaluation area:<\/strong> The evaluation area will include two rooms and the small hallway surrounding them. The total evaluation area is approximately 2500 square feet. More information about the evaluation area\u00a0could and should be collected by the teams during the setup day.<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\"><strong>The evaluation area will contain furniture. There will also\u00a0be people present in the rooms during evaluation. In addition, the furniture\u00a0placement will change between the setup and evaluation days.<\/strong><\/p>\n<\/blockquote>\n<ol start=\"2\">\n<li><strong>Setup Day (Sunday, April 13th):<\/strong> all teams will be given a\u00a07-hour window (9am-4pm)\u00a0to setup their systems. This is the time to deploy your custom hardware (if any), profile the space, and calibrate your systems in the best possible way. You won\u2019t be allowed to make any changes to your systems after the setup day. Early in the morning of Sunday, we will share with you, and also clearly mark in the evaluation area, a specific point that will serve as the origin point in the coordinate system that will be used for the evaluation. All locations reported by the teams in the competition should be with respect to this origin point. For instance, if a person is standing 0.5m along the X axis from the origin point, and 3 meters along the Y axis, then your system is expected to report the following location: (0.5m,3m).<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\"><b>Important notes:<\/b><\/p>\n<ol>\n<li>In order to localize anchor nodes or points used during fingerprinting, each team will have to measure the distances along the X and Y axis from the indicated origin point. It is up to the team to decide how to do this (i.e., measurement tape, laser range finder etc.). Since we expect a large number of participants, we recommend each team to be equipped with a laser range finder to simplify the process of distance measurements from the origin point.<\/li>\n<li>Note that each team can choose its own way of showing the estimated location (i.e., webpage, text file, phone, laptop etc.) as long as a member of the team can clearly point the estimated location out to the evaluator in real-time.\u00a0It is not enough for the evaluator to be told\u00a0what the estimated location is. The evaluator will also have to see that location\u00a0somehow on the system under test.<\/li>\n<li>Each team should report the most accurate location possible. For instance,\u00a0if the system under test can report mm level position, it should\u00a0report location (0.515m,3.001m) instead of just (0.5m,3m).<\/li>\n<\/ol>\n<\/blockquote>\n<ol start=\"3\">\n<li><strong>Evaluation Day (Monday, April 14th):<\/strong> After the teams have completed their setup on Sunday, the organizers will mark on the floor a number of points and manually measure the ground truth location for every point in the reference coordinate system. The contestants will not be aware of these points until Monday morning where the actual evaluation will take place. During evaluation, the organizers will carry the device indicated by each team to all of the test points, and record the location reported by the device at these points. The final score for the team will be the average localization error for all test points. For every test point, we will compute the Euclidean distance between the inferred location provided by the system under test and the ground truth location of the test point. At the end, we will compute the average of the distance between the measured and ground truth locations across all test points (average localization error). The team that achieves the lowest average localization error wins.<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\">Note that the system under test could be continuously computing its location. The evaluator will only record the location at the pre-specified test points. The evaluator carrying the device will stand at each of these points for a few seconds, and will record the reported location by the system under test.<\/p>\n<p align=\"justify\"><strong>Important:<\/strong> <strong>The system under test cannot assume that\u00a0when powered up it is at a known location that\u00a0is either predefined or manually entered.\u00a0Any systems that do this will be disqualified.<\/strong><\/p>\n<\/blockquote>\n<ol start=\"4\">\n<li><strong>WiFi Access points:<\/strong> A lot of the submissions rely on generic WiFi access points. To avoid the deployment of 10 WiFi access points from each participating team, we will be providing the WiFi access points. We will deploy 10 WiFi routers at different places within the evaluation area. The access points will be called MSLocalizationX (X=1,\u2026,10). Participants that rely on generic WiFi access points should only use these 10 WiFi routers. The hotel\u2019s access points in the area are only 3 and can only be used for connectivity and NOT localization purposes. If your team relies on generic WiFi access points, there is no need to bring and deploy your own access points. <b>Only those teams that require specialized WiFi access points (i..e special software\/hardware) will be allowed to deploy their own WiFi access points<\/b>. If you want to deploy your own access points, you first\u00a0need to request permission\u00a0from the organizers\u00a0(<a>dlymper@microsoft.com<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>).<\/li>\n<li><strong>Hardware Deployment:<\/strong> the hotel is happy to support our hardware deployment requirements. We will be able to deploy hardware on the floor, on the walls, on top of metallic\/plastic tripods, and if really needed on the ceiling (this is a really complicated option, please contact me if your team really needs this!). Please make sure you bring with you the necessary equipment for deploying your custom hardware (i.e., tripods etc.). The hotel should be able to accommodate some of our needs, but given the number of teams participating in the competition, it might be hard to accommodate every single request. Please try to be as self-sufficient as possible, and remember that the competition is taking place at a hotel, where there are always restrictions on what can and how it can be deployed.<\/li>\n<li><b>Poster Session<\/b>: Every participating team will have the chance to present its approach during the poster session on Tuesday, April 15<sup>th<\/sup>. The preferred poster size is the following: DIN A1 posters in portrait orientation (594 mm x 841 mm, resp. 23.39 in x 33.11 in &#8211; <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Paper_size\">http:\/\/en.wikipedia.org\/wiki\/Paper_size<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> ).<\/li>\n<li><strong>Indoor Localization Panel:<\/strong> On Wednesday, April 16<sup>th<\/sup>, a panel on Indoor Localization will be held from 4pm to 5:15pm (<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2014\/program.html\">http:\/\/ipsn.acm.org\/2014\/program.html<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> ). All teams are encouraged to participate. The panel will consist of people from academia and industry. The panel\u2019s main goal will be to discuss the current state-of-the-art in indoor localization, future directions, and of course the results and experiences of the competition.<\/li>\n<\/ol>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6548\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6548\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6547\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEligibility\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6547\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6548\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Both academia and industry submissions are encouraged. All location techniques, such as ranging, fingerprinting, infrastructure, or device free, are welcome, except those that require end users\u2019 manual measurements. Contesters can deploy their own infrastructure of up to 10 devices. Normal RF interference is expected, but no jammers for other deployments are allowed. The results must be shown on a portable device, such as a phone or a tablet\/laptop that a person can easily carry around.<\/p>\n<p>Demo submissions that do not meet one or more of the guidelines above will be included in the poster session and will be evaluated as a regular submission, but they will not be considered for prizes.<\/p>\n<p>The competition will take place if <strong>at least 5 teams<\/strong> respond to this preliminary call for competition.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6550\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6550\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6549\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tCompetition Categories\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6549\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6550\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Depending on the nature and number of submissions multiple categories might be defined based on the accuracy (i.e., point-based vs. area based), the size, the cost, or the type (i.e., software vs. hardware) of the proposed solution. The final set of categories will be announced after the registration deadline.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6552\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6552\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6551\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tPoster Session\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6551\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6552\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>A poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.<\/p>\n<p>\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6554\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6554\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6553\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEvaluation and Prize\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6553\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6554\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t<\/p>\n<p>Results are judged based on both room\/zone level accuracy and absolute accuracy, and an award will be given for the top 2 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning team in each category will be invited to present their approach at the conference, and receive a cash award.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6556\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6556\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6555\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tSubmission Guidelines\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6555\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6556\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Contesters must submit an abstract describing their approach and deployment requirements by the contest registration deadline. Submissions are treated as confidential until the competition. Submissions must be at most one (1) single-spaced 8.5&#8243; x 11&#8243; pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2014 papers. Templates can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2014\/submissions.html\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<\/p>\n<p align=\"justify\">\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contact: For questions about the competition, please email dlymper@microsoft.comOpens in a new tab Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2014-04-13","msr_enddate":"2014-04-15","msr_location":"Berlin, Germany","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":true,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-region":[],"msr-event-type":[],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-199902","msr-event","type-msr-event","status-publish","hentry","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Microsoft Indoor Localization Competition - IPSN 2014\",\"backgroundColor\":\"grey\"} \/-->\n\n<!-- wp:msr\/content-tabs --><!-- wp:msr\/content-tab {\"title\":\"Summary\"} --><!-- wp:freeform --><p><strong>Contact:<\/strong> For questions about the competition, please email <a href=\"mailto:dlymper@microsoft.com\">dlymper@microsoft.com<\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-255144\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-1024x312.jpg\" alt=\"ipsn2014\" width=\"1024\" height=\"312\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-1024x312.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-300x91.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-768x234.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance in the same space.<\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6538\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6538\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6537\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOrganizers\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6537\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6538\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlymper\/\">Dimitrios Lymberopoulos<\/a> (Microsoft Research)<\/li>\n<li>Romit Roy Choudhury (UIUC)<\/li>\n<li>Xue Yang (Intel Labs)<\/li>\n<li>Souvik Sen (HP Labs)<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6540\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6540\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6539\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOther Competitions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6539\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6540\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Check the\u00a0other competition\u2019s websites above\u00a0to get a better idea of the evaluation setup, the type of systems expected, and pictures of the different teams in action.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Indoor Localization Competition<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\">2015 Indoor Localization Competition<\/a><\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Official Results\"} --><!-- wp:freeform --><p align=\"justify\">The competition is on! We are happy to announce that we have received <strong>36 submissions from 32 teams spanning academia, industry, and startups!<\/strong><\/p>\n<p align=\"justify\"><strong>21 teams with 22 different approaches eventually showed up for the competition<\/strong>. The final ranking for all teams can be found in the table below. Teams in <span style=\"color: #0078d7\">blue <\/span>belong to the infrastructure-based category, while teams in <span style=\"color: #bad80a\">green<\/span> belong to the infrastructure-free category. Congratulations to all the participants! It was a blast!<\/p>\n<p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6542\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6542\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6541\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tOverview\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6541\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6542\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p align=\"justify\"><span style=\"color: #0078d7\"><strong>An overview of the results along with some pictures from the event can also been found <a style=\"color: #0078d7\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationpanelreleased.pptx\" target=\"_self\"><strong>here<\/strong><\/a><\/strong>.<\/span><\/p>\n<p align=\"justify\"><span style=\"color: #0078d7\"><strong>* <\/strong>Submissions from Adler et al. and Li et al. achieved almost identical location errors (2.034m vs. 2.039m). Given the small difference, we considered this to be a tie, and according to the rules of the competition, the team that deployed the least number of anchor points wins. Li et al. deployed 5 LED lamps (out of the maximum 10 they could deploy), and were therefore awarded the second place in the infrastructure-based category.<\/span><\/p>\n<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderFirstCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Submission<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Avg. Location Error (meters)<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Overall Rank<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderLastCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Category Rank<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_easypoint_submission.pdf\" target=\"_new\">A. Bestmann, R. Reimann (Lamda:4 Entwicklungen GmbH) EasyPoint &#8211; Indoor localization and Navigation Low Cost, Reliable, and Accurate<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>0.72<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_mapume.doc\">M. Klepal, C. Beder (Cork Institute of Technology) MapUme &#8211; WiFi-based Localization System<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.6<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/loc_competition_claoudias.pdf\">C. Laoudias, G. Larkou, D. Zeinalipour-Yazti, C. G. Panayiotou (University of Cyprus) Chin-Lung Li, Yu-Kuen Tsai (Cywee Corporation Ltd) Accurate Multi-Sensor Localization on Android Devices<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.96<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\" target=\"_self\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Visible Light Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.04<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2*<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #0078D7\">S. Adler, S.Schmitt, Y. Yang, Y. Zhao, M. Kyas (Freie Universitat Berlin) FUBLoc &#8211; Accurate Range-based Indoor Localization and Tracking<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.03<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>5<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3*<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn14-alps-demo.pdf\">P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (CMU) ALPS: An Ultrasonic Localization System<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.09<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>6<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_competition_abstract.pdf\">H. Zou, H. Jiang, L. Xie (Nanyang Technological University) WiFi-based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.22<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/winlab_ipsn14_competition_submission.pdf\" target=\"_self\">A. Ashok, C. Xu, M. Gruteser, R. Howard, Y. Zhang, N. Mandayam, W. Yuan, K. Dana (Rutgers University) InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.35<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 5<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nikodem_indoor_localization_competition.pdf\" target=\"_self\">M. Nikodem, S. Bialoskorski (Wroclaw University of Technology) T. Jankowski, D. Legizynski, S. Szymczak (MT-Silesia Sp.) Indoor Localization Based on Low-power Chirp Transceivers<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.58<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"> <strong>6<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nextome.pdf\">V. Dentamaro, D. Colucci, P. Ambrosini (NextoMe) Indoor Positioning and Navigation System<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.72<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 7<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A) An Indoor Location Solution for Mobile Devices<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.81<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>11<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Indoor Localization with Multi-modalities<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.19<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>12<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> A. Marcaletti (ETH), D. Giustiniano (IMDEA Networks), V. Lenders (Armasuisse) Tracking of Mobile Devices with WiFi Time-of-Flight<\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.47<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>13<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>6<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoor_competition_submission_zhuoling.pdf\" target=\"_new\">Z. Xiao, H. Wen, A Markham, N. Trigoni (University of Oxford) Indoor Tracking Using Conditional Random Fields<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.71<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>14<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/competition_abstract_abrudan_xiao_markham_trigoni.pdf\" target=\"_new\">T. E. Abrudan, Z. Xiao, A. Markham, N. Trigoni (University of Oxford) IMU-Aided Magneto-inductive Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.83<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>15<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/2014_ipsn_sark.pdf\">V. Sark, E. Grass (Humboldt University of Berlin) A Software-defined Radio for Time Of Flight Based Ranging and Localization<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.87<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>16<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/main.pdf\">G. Pirkl, P. Heveshi, P. Lukowicz (DFKI GmbH, TU) Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.96<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>17<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/greina_tec_localization_entry.pdf\" target=\"_new\">T. Schmid, D. Lee (Greina Technologies, Inc.) High Resolution Indoor RF Ranging<\/a><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4.04<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>18<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>11<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/magnwifi.pdf\"> C. Zhang, J. Luo (Nanyang Technological University) J. Wu (Nanjing University) MaWi: A Hybrid Magnetic and WiFi System for Scalable Indoor Localization<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4.86<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>19<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>8<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableFirstCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationsystem.doc\">A. Ghose, C. Bhaumik, N. Ahmed, A Agrawal, V. Chandel, A. Kumar, A. Pal (Tata Consultancy Services) UnSupLoc &#8211; A System for Infrastructure Friendly Unsupervised Indoor Localization<\/a><\/span><\/p>\n<\/td>\n<td class=\"blueTableOddCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5.23<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableEvenCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>20<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableLastCol\">\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>9<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableFooterRow\">\n<td class=\"blueTableFooterFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn.pdf\">Z. Jiang, W. Xi, X.-Y. Li, J. Zhao, J. Han (Illinois Institute of Technology) HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/a><\/p>\n<\/td>\n<td class=\"blueTableFooterOddCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>8.91<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterEvenCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>21<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterLastCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>12<\/strong><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n<tr class=\"blueTableFooterRow\">\n<td class=\"blueTableFooterFirstCol\">\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-selavo.pdf\">L. Selavo, I. Drikis, A Mednis (Institute of Electronics and Computer Science, Latvia) Localization Using Digitally Steerable Antennas<\/a><\/p>\n<\/td>\n<td class=\"blueTableFooterOddCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>10.22<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterEvenCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>22<\/strong><\/span><\/strong><\/p>\n<\/td>\n<td class=\"blueTableFooterLastCol\">\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>13<\/strong><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p align=\"justify\"><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6544\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6544\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6543\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tInfrastructure-Based Submissions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6543\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6544\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<\/p>\n<p align=\"justify\">All submissions have been assigned to one of two categories depending on the requirement to deploy custom hardware or not. The list of all submissions in each category can be seen below.<\/p>\n<p align=\"justify\">All teams highlighted in <span style=\"color: #bad80a\">green<\/span> have successfully registered for the competition and will be allowed to compete. The teams highlighted in <span style=\"color: #e81123\">red<\/span> either withdrew from the competition or did not successfully registered for the competition and will not be allowed to compete.<\/p>\n<p align=\"justify\">The time slot assigned to each team corresponds to the exact time during the evaluation day (Monday, April 14th) that this team will be evaluated. All teams are encouraged to be present at all times to learn about the competing systems and observe them in action. <strong>In any case,<\/strong> <strong>all teams should be in the evaluation area at least 1.5 hours prior to their assigned time slot<\/strong>.<\/p>\n<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong> Authors<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Pirkl et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (Light)<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ashok et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Adler et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">FUBLoc &#8211; Accurate Range-based Indoor Localization and Tracking<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Selavo et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Localization Using Digitally Steerable Antennas<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Bestmann et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">EasyPoint &#8211; Indoor Localization and Navigation Low Cost, Reliable and Accurate<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Schmid et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">High-Resolution Indoor RF Ranging<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ehrig et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A 60GHz System for Simultaneous Time of Flight Ranging and High-Speed Wireless Data Communication<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sark at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A Software Defined Radio for Time of Flight Based Ranging and Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Taylor et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Low-cost Hybrid Indoor Localization with Light Fixtures<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Kleunen et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Locus: Space-based Indoor Positioning<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Lazik et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">ALPS: An Ultrasonic Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Passive Device-Free Indoor Localization from RSSI<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Dentamaro et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Nextome &#8211; Indoor Positioning and Navigation System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Jiang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Abrudan et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">IMU-Aided magneto-inductive Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (iPhone + BLE)<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Nikodem et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Low-Power Chirp Transceivers<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Device-Free Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Yang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A step into mm-scale treatment! Multipath-Resistant Tracking for Mobile RFID Tags<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Brucato et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Modeling and Prototyping a Personal Object Finder. The NEVERLOST Real Time Localization System Use Case<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6546\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6546\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6545\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tInfrastructure-Free Submissions\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6545\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6546\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<table class=\"blue tWiz\">\n<tbody>\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\n<td class=\"blueTableHeaderEvenCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Authors<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\">\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\n<\/td>\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ferraz et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Ubee.in &#8211; An Indoor Location Solution for Mobile Devices<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (WiFi + sensors)<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zhang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MaWi: A Hybrid Magnetic and Wi-Fi System for Scalable Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Laoudias at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Accurate Multi-Sensor Localization on Android Devices<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Klepal et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MapUme &#8211; WiFi Based Localization System<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Jiang et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">FreeLoc: Infrastructure-Free Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">GiPSTech<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A Novel Hybrid\/Geomagnetic Field Based Technology for Indoor Navigation<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zou et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">WiFi Based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Xiao et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Tracking Using Conditional Random Fields<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:40<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Yun et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Vision-Based 3D Indoor localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Marcaletti et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Tracking of Mobile Devices with WiFi Time-Of-Flight<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:00<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (Android + WiFI)<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ghose et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">UnsupLoc &#8211; A System for infrastructure Friendly Unsupervised Indoor Localization<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:20<\/span><\/td>\n<\/tr>\n<tr class=\"blueTableEvenRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Quintas et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoor Localization and Tracking Using 802.11 networks and Smartphones<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<tr class=\"blueTableOddRow\">\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Ohrt et al.<\/span><\/td>\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Room-Based Indoor Localization using WiFi-Fingerprinting and Machine Learning<\/span><\/td>\n<td class=\"blueTableOddCol\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Competition Logistics\"} --><!-- wp:freeform --><ol>\n<li><strong>Evaluation area:<\/strong> The evaluation area will include two rooms and the small hallway surrounding them. The total evaluation area is approximately 2500 square feet. More information about the evaluation area\u00a0could and should be collected by the teams during the setup day.<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\"><strong>The evaluation area will contain furniture. There will also\u00a0be people present in the rooms during evaluation. In addition, the furniture\u00a0placement will change between the setup and evaluation days.<\/strong><\/p>\n<\/blockquote>\n<ol start=\"2\">\n<li><strong>Setup Day (Sunday, April 13th):<\/strong> all teams will be given a\u00a07-hour window (9am-4pm)\u00a0to setup their systems. This is the time to deploy your custom hardware (if any), profile the space, and calibrate your systems in the best possible way. You won\u2019t be allowed to make any changes to your systems after the setup day. Early in the morning of Sunday, we will share with you, and also clearly mark in the evaluation area, a specific point that will serve as the origin point in the coordinate system that will be used for the evaluation. All locations reported by the teams in the competition should be with respect to this origin point. For instance, if a person is standing 0.5m along the X axis from the origin point, and 3 meters along the Y axis, then your system is expected to report the following location: (0.5m,3m).<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\"><b>Important notes:<\/b><\/p>\n<ol>\n<li>In order to localize anchor nodes or points used during fingerprinting, each team will have to measure the distances along the X and Y axis from the indicated origin point. It is up to the team to decide how to do this (i.e., measurement tape, laser range finder etc.). Since we expect a large number of participants, we recommend each team to be equipped with a laser range finder to simplify the process of distance measurements from the origin point.<\/li>\n<li>Note that each team can choose its own way of showing the estimated location (i.e., webpage, text file, phone, laptop etc.) as long as a member of the team can clearly point the estimated location out to the evaluator in real-time.\u00a0It is not enough for the evaluator to be told\u00a0what the estimated location is. The evaluator will also have to see that location\u00a0somehow on the system under test.<\/li>\n<li>Each team should report the most accurate location possible. For instance,\u00a0if the system under test can report mm level position, it should\u00a0report location (0.515m,3.001m) instead of just (0.5m,3m).<\/li>\n<\/ol>\n<\/blockquote>\n<ol start=\"3\">\n<li><strong>Evaluation Day (Monday, April 14th):<\/strong> After the teams have completed their setup on Sunday, the organizers will mark on the floor a number of points and manually measure the ground truth location for every point in the reference coordinate system. The contestants will not be aware of these points until Monday morning where the actual evaluation will take place. During evaluation, the organizers will carry the device indicated by each team to all of the test points, and record the location reported by the device at these points. The final score for the team will be the average localization error for all test points. For every test point, we will compute the Euclidean distance between the inferred location provided by the system under test and the ground truth location of the test point. At the end, we will compute the average of the distance between the measured and ground truth locations across all test points (average localization error). The team that achieves the lowest average localization error wins.<\/li>\n<\/ol>\n<blockquote>\n<p align=\"justify\">Note that the system under test could be continuously computing its location. The evaluator will only record the location at the pre-specified test points. The evaluator carrying the device will stand at each of these points for a few seconds, and will record the reported location by the system under test.<\/p>\n<p align=\"justify\"><strong>Important:<\/strong> <strong>The system under test cannot assume that\u00a0when powered up it is at a known location that\u00a0is either predefined or manually entered.\u00a0Any systems that do this will be disqualified.<\/strong><\/p>\n<\/blockquote>\n<ol start=\"4\">\n<li><strong>WiFi Access points:<\/strong> A lot of the submissions rely on generic WiFi access points. To avoid the deployment of 10 WiFi access points from each participating team, we will be providing the WiFi access points. We will deploy 10 WiFi routers at different places within the evaluation area. The access points will be called MSLocalizationX (X=1,\u2026,10). Participants that rely on generic WiFi access points should only use these 10 WiFi routers. The hotel\u2019s access points in the area are only 3 and can only be used for connectivity and NOT localization purposes. If your team relies on generic WiFi access points, there is no need to bring and deploy your own access points. <b>Only those teams that require specialized WiFi access points (i..e special software\/hardware) will be allowed to deploy their own WiFi access points<\/b>. If you want to deploy your own access points, you first\u00a0need to request permission\u00a0from the organizers\u00a0(<a>dlymper@microsoft.com<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>).<\/li>\n<li><strong>Hardware Deployment:<\/strong> the hotel is happy to support our hardware deployment requirements. We will be able to deploy hardware on the floor, on the walls, on top of metallic\/plastic tripods, and if really needed on the ceiling (this is a really complicated option, please contact me if your team really needs this!). Please make sure you bring with you the necessary equipment for deploying your custom hardware (i.e., tripods etc.). The hotel should be able to accommodate some of our needs, but given the number of teams participating in the competition, it might be hard to accommodate every single request. Please try to be as self-sufficient as possible, and remember that the competition is taking place at a hotel, where there are always restrictions on what can and how it can be deployed.<\/li>\n<li><b>Poster Session<\/b>: Every participating team will have the chance to present its approach during the poster session on Tuesday, April 15<sup>th<\/sup>. The preferred poster size is the following: DIN A1 posters in portrait orientation (594 mm x 841 mm, resp. 23.39 in x 33.11 in &#8211; <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Paper_size\">http:\/\/en.wikipedia.org\/wiki\/Paper_size<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> ).<\/li>\n<li><strong>Indoor Localization Panel:<\/strong> On Wednesday, April 16<sup>th<\/sup>, a panel on Indoor Localization will be held from 4pm to 5:15pm (<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2014\/program.html\">http:\/\/ipsn.acm.org\/2014\/program.html<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> ). All teams are encouraged to participate. The panel will consist of people from academia and industry. The panel\u2019s main goal will be to discuss the current state-of-the-art in indoor localization, future directions, and of course the results and experiences of the competition.<\/li>\n<\/ol>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Call for Contesters\"} --><!-- wp:freeform --><p>\t<div data-wp-context='{\"items\":[]}' data-wp-interactive=\"msr\/accordion\">\n\t\t\t\t\t<div class=\"clearfix\">\n\t\t\t\t<div\n\t\t\t\t\tclass=\"btn-group align-items-center mb-g float-sm-right\"\n\t\t\t\t\tdata-bi-aN=\"accordion-collapse-controls\"\n\t\t\t\t>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Expand all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllExpanded\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onExpandAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t<span aria-hidden=\"true\"> | <\/span>\n\t\t\t\t\t<button\n\t\t\t\t\t\tclass=\"btn btn-link m-0\"\n\t\t\t\t\t\tdata-bi-cN=\"Collapse all\"\n\t\t\t\t\t\tdata-wp-bind--aria-controls=\"state.ariaControls\"\n\t\t\t\t\t\tdata-wp-bind--aria-expanded=\"state.ariaExpanded\"\n\t\t\t\t\t\tdata-wp-bind--disabled=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-class--inactive=\"state.isAllCollapsed\"\n\t\t\t\t\t\tdata-wp-on--click=\"actions.onCollapseAll\"\n\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t>\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<ul class=\"msr-accordion\">\n\t\t\t\t\t\t\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6548\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6548\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6547\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEligibility\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6547\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6548\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Both academia and industry submissions are encouraged. All location techniques, such as ranging, fingerprinting, infrastructure, or device free, are welcome, except those that require end users\u2019 manual measurements. Contesters can deploy their own infrastructure of up to 10 devices. Normal RF interference is expected, but no jammers for other deployments are allowed. The results must be shown on a portable device, such as a phone or a tablet\/laptop that a person can easily carry around.<\/p>\n<p>Demo submissions that do not meet one or more of the guidelines above will be included in the poster session and will be evaluated as a regular submission, but they will not be considered for prizes.<\/p>\n<p>The competition will take place if <strong>at least 5 teams<\/strong> respond to this preliminary call for competition.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6550\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6550\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6549\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tCompetition Categories\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6549\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6550\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Depending on the nature and number of submissions multiple categories might be defined based on the accuracy (i.e., point-based vs. area based), the size, the cost, or the type (i.e., software vs. hardware) of the proposed solution. The final set of categories will be announced after the registration deadline.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6552\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6552\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6551\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tPoster Session\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6551\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6552\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>A poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.<\/p>\n<p>\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6554\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6554\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6553\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEvaluation and Prize\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6553\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6554\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t<\/p>\n<p>Results are judged based on both room\/zone level accuracy and absolute accuracy, and an award will be given for the top 2 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning team in each category will be invited to present their approach at the conference, and receive a cash award.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t<li class=\"m-0\" data-wp-context='{\"id\":\"accordion-content-6556\"}' data-wp-init=\"callbacks.init\">\n\t\t<div class=\"accordion-header\">\n\t\t\t<button\n\t\t\t\taria-controls=\"accordion-content-6556\"\n\t\t\t\tclass=\"btn btn-collapse\"\n\t\t\t\tdata-wp-bind--aria-expanded=\"state.isExpanded\"\n\t\t\t\tdata-wp-on--click=\"actions.onClick\"\n\t\t\t\tid=\"accordion-button-6555\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tSubmission Guidelines\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-6555\"\n\t\t\tclass=\"msr-accordion__content\"\n\t\t\tdata-wp-bind--inert=\"!state.isExpanded\"\n\t\t\tdata-wp-run=\"callbacks.run\"\n\t\t\tid=\"accordion-content-6556\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Contesters must submit an abstract describing their approach and deployment requirements by the contest registration deadline. Submissions are treated as confidential until the competition. Submissions must be at most one (1) single-spaced 8.5&#8243; x 11&#8243; pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2014 papers. Templates can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2014\/submissions.html\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t<\/div>\n\t<\/p>\n<p align=\"justify\">\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- \/wp:msr\/content-tabs -->","tab-content":[{"id":0,"name":"Summary","content":"<img class=\"alignnone size-large wp-image-255144\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-1024x312.jpg\" alt=\"ipsn2014\" width=\"1024\" height=\"312\" \/>\r\n\r\nAccurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance in the same space.\r\n\r\n[accordion]\r\n\r\n[panel header=\"Organizers\"]\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlymper\/\">Dimitrios Lymberopoulos<\/a> (Microsoft Research)<\/li>\r\n \t<li>Romit Roy Choudhury (UIUC)<\/li>\r\n \t<li>Xue Yang (Intel Labs)<\/li>\r\n \t<li>Souvik Sen (HP Labs)<\/li>\r\n<\/ul>\r\n[\/panel]\r\n\r\n[panel header=\"Other Competitions\"]\r\n\r\nCheck the\u00a0other competition\u2019s websites above\u00a0to get a better idea of the evaluation setup, the type of systems expected, and pictures of the different teams in action.\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Indoor Localization Competition<\/a><\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\">2015 Indoor Localization Competition<\/a><\/li>\r\n<\/ul>\r\n[\/panel]\r\n\r\n[\/accordion]"},{"id":1,"name":"Official Results","content":"<p align=\"justify\">The competition is on! We are happy to announce that we have received <strong>36 submissions from 32 teams spanning academia, industry, and startups!<\/strong><\/p>\r\n<p align=\"justify\"><strong>21 teams with 22 different approaches eventually showed up for the competition<\/strong>. The final ranking for all teams can be found in the table below. Teams in <span style=\"color: #0078d7\">blue <\/span>belong to the infrastructure-based category, while teams in <span style=\"color: #bad80a\">green<\/span> belong to the infrastructure-free category. Congratulations to all the participants! It was a blast!<\/p>\r\n[accordion]\r\n\r\n[panel header=\"Overview\"]\r\n<p align=\"justify\"><span style=\"color: #0078d7\"><strong>An overview of the results along with some pictures from the event can also been found <a style=\"color: #0078d7\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationpanelreleased.pptx\" target=\"_self\"><strong>here<\/strong><\/a><\/strong>.<\/span><\/p>\r\n<p align=\"justify\"><span style=\"color: #0078d7\"><strong>* <\/strong>Submissions from Adler et al. and Li et al. achieved almost identical location errors (2.034m vs. 2.039m). Given the small difference, we considered this to be a tie, and according to the rules of the competition, the team that deployed the least number of anchor points wins. Li et al. deployed 5 LED lamps (out of the maximum 10 they could deploy), and were therefore awarded the second place in the infrastructure-based category.<\/span><\/p>\r\n\r\n<table class=\"blue tWiz\">\r\n<tbody>\r\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\r\n<td class=\"blueTableHeaderFirstCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Submission<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderOddCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Avg. Location Error (meters)<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderEvenCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Overall Rank<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderLastCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Category Rank<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_easypoint_submission.pdf\" target=\"_new\">A. Bestmann, R. Reimann (Lamda:4 Entwicklungen GmbH) EasyPoint - Indoor localization and Navigation Low Cost, Reliable, and Accurate<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>0.72<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>1<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_14_mapume.doc\">M. Klepal, C. Beder (Cork Institute of Technology) MapUme - WiFi-based Localization System<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.6<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/loc_competition_claoudias.pdf\">C. Laoudias, G. Larkou, D. Zeinalipour-Yazti, C. G. Panayiotou (University of Cyprus) Chin-Lung Li, Yu-Kuen Tsai (Cywee Corporation Ltd) Accurate Multi-Sensor Localization on Android Devices<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>1.96<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\" target=\"_self\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Visible Light Localization<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.04<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2*<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #0078D7\">S. Adler, S.Schmitt, Y. Yang, Y. Zhao, M. Kyas (Freie Universitat Berlin) FUBLoc - Accurate Range-based Indoor Localization and Tracking<\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.03<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>5<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3*<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn14-alps-demo.pdf\">P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (CMU) ALPS: An Ultrasonic Localization System<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.09<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>6<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_competition_abstract.pdf\">H. Zou, H. Jiang, L. Xie (Nanyang Technological University) WiFi-based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.22<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/winlab_ipsn14_competition_submission.pdf\" target=\"_self\">A. Ashok, C. Xu, M. Gruteser, R. Howard, Y. Zhang, N. Mandayam, W. Yuan, K. Dana (Rutgers University) InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.35<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 5<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nikodem_indoor_localization_competition.pdf\" target=\"_self\">M. Nikodem, S. Bialoskorski (Wroclaw University of Technology) T. Jankowski, D. Legizynski, S. Szymczak (MT-Silesia Sp.) Indoor Localization Based on Low-power Chirp Transceivers<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.58<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"> <strong>6<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/nextome.pdf\">V. Dentamaro, D. Colucci, P. Ambrosini (NextoMe) Indoor Positioning and Navigation System<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>2.72<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong> 7<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"> A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A) An Indoor Location Solution for Mobile Devices<\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>2.81<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>11<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn_contest.pdf\">L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Indoor Localization with Multi-modalities<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.19<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>12<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"> A. Marcaletti (ETH), D. Giustiniano (IMDEA Networks), V. Lenders (Armasuisse) Tracking of Mobile Devices with WiFi Time-of-Flight<\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.47<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>13<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>6<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoor_competition_submission_zhuoling.pdf\" target=\"_new\">Z. Xiao, H. Wen, A Markham, N. Trigoni (University of Oxford) Indoor Tracking Using Conditional Random Fields<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>3.71<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>14<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>7<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/competition_abstract_abrudan_xiao_markham_trigoni.pdf\" target=\"_new\">T. E. Abrudan, Z. Xiao, A. Markham, N. Trigoni (University of Oxford) IMU-Aided Magneto-inductive Localization<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.83<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>15<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>8<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/2014_ipsn_sark.pdf\">V. Sark, E. Grass (Humboldt University of Berlin) A Software-defined Radio for Time Of Flight Based Ranging and Localization<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.87<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>16<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>9<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/main.pdf\">G. Pirkl, P. Heveshi, P. Lukowicz (DFKI GmbH, TU) Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>3.96<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>17<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>10<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/greina_tec_localization_entry.pdf\" target=\"_new\">T. Schmid, D. Lee (Greina Technologies, Inc.) High Resolution Indoor RF Ranging<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>4.04<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>18<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #0078d7\"><strong>11<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/magnwifi.pdf\"> C. Zhang, J. Luo (Nanyang Technological University) J. Wu (Nanjing University) MaWi: A Hybrid Magnetic and WiFi System for Scalable Indoor Localization<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>4.86<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>19<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>8<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableFirstCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"> <a style=\"color: #bad80a\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/indoorlocalizationsystem.doc\">A. Ghose, C. Bhaumik, N. Ahmed, A Agrawal, V. Chandel, A. Kumar, A. Pal (Tata Consultancy Services) UnSupLoc - A System for Infrastructure Friendly Unsupervised Indoor Localization<\/a><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableOddCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>5.23<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableEvenCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>20<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableLastCol\">\r\n<p align=\"center\"><span style=\"color: #bad80a\"><strong>9<\/strong><\/span><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableFooterRow\">\r\n<td class=\"blueTableFooterFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn.pdf\">Z. Jiang, W. Xi, X.-Y. Li, J. Zhao, J. Han (Illinois Institute of Technology) HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterOddCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>8.91<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterEvenCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"><strong>21<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterLastCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>12<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<\/tr>\r\n<tr class=\"blueTableFooterRow\">\r\n<td class=\"blueTableFooterFirstCol\">\r\n<p align=\"center\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2013\/09\/ipsn2014-selavo.pdf\">L. Selavo, I. Drikis, A Mednis (Institute of Electronics and Computer Science, Latvia) Localization Using Digitally Steerable Antennas<\/a><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterOddCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>10.22<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterEvenCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>22<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<td class=\"blueTableFooterLastCol\">\r\n<p align=\"center\"><strong><span style=\"color: #0078d7\"> <strong>13<\/strong><\/span><\/strong><\/p>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p align=\"justify\">[\/panel]<\/p>\r\n[panel header=\"Infrastructure-Based Submissions\"]\r\n<p align=\"justify\">All submissions have been assigned to one of two categories depending on the requirement to deploy custom hardware or not. The list of all submissions in each category can be seen below.<\/p>\r\n<p align=\"justify\">All teams highlighted in <span style=\"color: #bad80a\">green<\/span> have successfully registered for the competition and will be allowed to compete. The teams highlighted in <span style=\"color: #e81123\">red<\/span> either withdrew from the competition or did not successfully registered for the competition and will not be allowed to compete.<\/p>\r\n<p align=\"justify\">The time slot assigned to each team corresponds to the exact time during the evaluation day (Monday, April 14th) that this team will be evaluated. All teams are encouraged to be present at all times to learn about the competing systems and observe them in action. <strong>In any case,<\/strong> <strong>all teams should be in the evaluation area at least 1.5 hours prior to their assigned time slot<\/strong>.<\/p>\r\n\r\n<table class=\"blue tWiz\">\r\n<tbody>\r\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\r\n<td class=\"blueTableHeaderEvenCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong> Authors<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderOddCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Pirkl et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Resonant Oscillating Magnetic Fields<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (Light)<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ashok et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Adler et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">FUBLoc - Accurate Range-based Indoor Localization and Tracking<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Selavo et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Localization Using Digitally Steerable Antennas<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Bestmann et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">EasyPoint - Indoor Localization and Navigation Low Cost, Reliable and Accurate<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Schmid et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">High-Resolution Indoor RF Ranging<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Ehrig et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A 60GHz System for Simultaneous Time of Flight Ranging and High-Speed Wireless Data Communication<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sark at al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">A Software Defined Radio for Time of Flight Based Ranging and Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">14:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Taylor et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Low-cost Hybrid Indoor Localization with Light Fixtures<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Kleunen et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Locus: Space-based Indoor Positioning<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Lazik et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">ALPS: An Ultrasonic Localization System<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Passive Device-Free Indoor Localization from RSSI<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Dentamaro et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Nextome - Indoor Positioning and Navigation System<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">15:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Jiang et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">17:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Abrudan et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">IMU-Aided magneto-inductive Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (iPhone + BLE)<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Nikodem et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization Based on Low-Power Chirp Transceivers<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">16:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #bad80a\">Sigg et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Device-Free Indoor Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">12:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Yang et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A step into mm-scale treatment! Multipath-Resistant Tracking for Mobile RFID Tags<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableHeaderEvenCol\"><span style=\"color: #e81123\">Brucato et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Modeling and Prototyping a Personal Object Finder. The NEVERLOST Real Time Localization System Use Case<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n[\/panel]\r\n\r\n[panel header=\"Infrastructure-Free Submissions\"]\r\n<table class=\"blue tWiz\">\r\n<tbody>\r\n<tr class=\"blueTableHeaderRow\" style=\"background-color: #0078d7\">\r\n<td class=\"blueTableHeaderEvenCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Authors<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderOddCol\">\r\n<p align=\"center\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/p>\r\n<\/td>\r\n<td class=\"blueTableHeaderOddCol\"><span style=\"color: #ffffff\"><strong>Time<\/strong><\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ferraz et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Ubee.in - An Indoor Location Solution for Mobile Devices<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Li et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Localization with Multi-modalities (WiFi + sensors)<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zhang et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MaWi: A Hybrid Magnetic and Wi-Fi System for Scalable Indoor Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Laoudias at al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Accurate Multi-Sensor Localization on Android Devices<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Klepal et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">MapUme - WiFi Based Localization System<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Jiang et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">FreeLoc: Infrastructure-Free Indoor Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">GiPSTech<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">A Novel Hybrid\/Geomagnetic Field Based Technology for Indoor Navigation<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Zou et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">WiFi Based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">09:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Xiao et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Indoor Tracking Using Conditional Random Fields<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">10:40<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Yun et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Vision-Based 3D Indoor localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Marcaletti et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">Tracking of Mobile Devices with WiFi Time-Of-Flight<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:00<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Burgess at al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoo.rs (Android + WiFI)<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #bad80a\">Ghose et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">UnsupLoc - A System for infrastructure Friendly Unsupervised Indoor Localization<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #bad80a\">11:20<\/span><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableEvenRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Quintas et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Indoor Localization and Tracking Using 802.11 networks and Smartphones<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<tr class=\"blueTableOddRow\">\r\n<td class=\"blueTableEvenCol\"><span style=\"color: #e81123\">Ohrt et al.<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><span style=\"color: #e81123\">Room-Based Indoor Localization using WiFi-Fingerprinting and Machine Learning<\/span><\/td>\r\n<td class=\"blueTableOddCol\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n[\/panel]\r\n\r\n[\/accordion]"},{"id":2,"name":"Competition Logistics","content":"<ol>\r\n \t<li><strong>Evaluation area:<\/strong> The evaluation area will include two rooms and the small hallway surrounding them. The total evaluation area is approximately 2500 square feet. More information about the evaluation area\u00a0could and should be collected by the teams during the setup day.<\/li>\r\n<\/ol>\r\n<blockquote>\r\n<p align=\"justify\"><strong>The evaluation area will contain furniture. There will also\u00a0be people present in the rooms during evaluation. In addition, the furniture\u00a0placement will change between the setup and evaluation days.<\/strong><\/p>\r\n<\/blockquote>\r\n<ol start=\"2\">\r\n \t<li><strong>Setup Day (Sunday, April 13th):<\/strong> all teams will be given a\u00a07-hour window (9am-4pm)\u00a0to setup their systems. This is the time to deploy your custom hardware (if any), profile the space, and calibrate your systems in the best possible way. You won\u2019t be allowed to make any changes to your systems after the setup day. Early in the morning of Sunday, we will share with you, and also clearly mark in the evaluation area, a specific point that will serve as the origin point in the coordinate system that will be used for the evaluation. All locations reported by the teams in the competition should be with respect to this origin point. For instance, if a person is standing 0.5m along the X axis from the origin point, and 3 meters along the Y axis, then your system is expected to report the following location: (0.5m,3m).<\/li>\r\n<\/ol>\r\n<blockquote>\r\n<p align=\"justify\"><b>Important notes:<\/b><\/p>\r\n\r\n<ol>\r\n \t<li>In order to localize anchor nodes or points used during fingerprinting, each team will have to measure the distances along the X and Y axis from the indicated origin point. It is up to the team to decide how to do this (i.e., measurement tape, laser range finder etc.). Since we expect a large number of participants, we recommend each team to be equipped with a laser range finder to simplify the process of distance measurements from the origin point.<\/li>\r\n \t<li>Note that each team can choose its own way of showing the estimated location (i.e., webpage, text file, phone, laptop etc.) as long as a member of the team can clearly point the estimated location out to the evaluator in real-time.\u00a0It is not enough for the evaluator to be told\u00a0what the estimated location is. The evaluator will also have to see that location\u00a0somehow on the system under test.<\/li>\r\n \t<li>Each team should report the most accurate location possible. For instance,\u00a0if the system under test can report mm level position, it should\u00a0report location (0.515m,3.001m) instead of just (0.5m,3m).<\/li>\r\n<\/ol>\r\n<\/blockquote>\r\n<ol start=\"3\">\r\n \t<li><strong>Evaluation Day (Monday, April 14th):<\/strong> After the teams have completed their setup on Sunday, the organizers will mark on the floor a number of points and manually measure the ground truth location for every point in the reference coordinate system. The contestants will not be aware of these points until Monday morning where the actual evaluation will take place. During evaluation, the organizers will carry the device indicated by each team to all of the test points, and record the location reported by the device at these points. The final score for the team will be the average localization error for all test points. For every test point, we will compute the Euclidean distance between the inferred location provided by the system under test and the ground truth location of the test point. At the end, we will compute the average of the distance between the measured and ground truth locations across all test points (average localization error). The team that achieves the lowest average localization error wins.<\/li>\r\n<\/ol>\r\n<blockquote>\r\n<p align=\"justify\">Note that the system under test could be continuously computing its location. The evaluator will only record the location at the pre-specified test points. The evaluator carrying the device will stand at each of these points for a few seconds, and will record the reported location by the system under test.<\/p>\r\n<p align=\"justify\"><strong>Important:<\/strong> <strong>The system under test cannot assume that\u00a0when powered up it is at a known location that\u00a0is either predefined or manually entered.\u00a0Any systems that do this will be disqualified.<\/strong><\/p>\r\n<\/blockquote>\r\n<ol start=\"4\">\r\n \t<li><strong>WiFi Access points:<\/strong> A lot of the submissions rely on generic WiFi access points. To avoid the deployment of 10 WiFi access points from each participating team, we will be providing the WiFi access points. We will deploy 10 WiFi routers at different places within the evaluation area. The access points will be called MSLocalizationX (X=1,\u2026,10). Participants that rely on generic WiFi access points should only use these 10 WiFi routers. The hotel\u2019s access points in the area are only 3 and can only be used for connectivity and NOT localization purposes. If your team relies on generic WiFi access points, there is no need to bring and deploy your own access points. <b>Only those teams that require specialized WiFi access points (i..e special software\/hardware) will be allowed to deploy their own WiFi access points<\/b>. If you want to deploy your own access points, you first\u00a0need to request permission\u00a0from the organizers\u00a0(<a>dlymper@microsoft.com<\/a>).<\/li>\r\n \t<li><strong>Hardware Deployment:<\/strong> the hotel is happy to support our hardware deployment requirements. We will be able to deploy hardware on the floor, on the walls, on top of metallic\/plastic tripods, and if really needed on the ceiling (this is a really complicated option, please contact me if your team really needs this!). Please make sure you bring with you the necessary equipment for deploying your custom hardware (i.e., tripods etc.). The hotel should be able to accommodate some of our needs, but given the number of teams participating in the competition, it might be hard to accommodate every single request. Please try to be as self-sufficient as possible, and remember that the competition is taking place at a hotel, where there are always restrictions on what can and how it can be deployed.<\/li>\r\n \t<li><b>Poster Session<\/b>: Every participating team will have the chance to present its approach during the poster session on Tuesday, April 15<sup>th<\/sup>. The preferred poster size is the following: DIN A1 posters in portrait orientation (594 mm x 841 mm, resp. 23.39 in x 33.11 in - <a href=\"http:\/\/en.wikipedia.org\/wiki\/Paper_size\">http:\/\/en.wikipedia.org\/wiki\/Paper_size<\/a> ).<\/li>\r\n \t<li><strong>Indoor Localization Panel:<\/strong> On Wednesday, April 16<sup>th<\/sup>, a panel on Indoor Localization will be held from 4pm to 5:15pm (<a href=\"http:\/\/ipsn.acm.org\/2014\/program.html\">http:\/\/ipsn.acm.org\/2014\/program.html<\/a> ). All teams are encouraged to participate. The panel will consist of people from academia and industry. The panel\u2019s main goal will be to discuss the current state-of-the-art in indoor localization, future directions, and of course the results and experiences of the competition.<\/li>\r\n<\/ol>"},{"id":3,"name":"Call for Contesters","content":"[accordion]\r\n\r\n[panel header=\"Eligibility\"]\r\n\r\nBoth academia and industry submissions are encouraged. All location techniques, such as ranging, fingerprinting, infrastructure, or device free, are welcome, except those that require end users\u2019 manual measurements. Contesters can deploy their own infrastructure of up to 10 devices. Normal RF interference is expected, but no jammers for other deployments are allowed. The results must be shown on a portable device, such as a phone or a tablet\/laptop that a person can easily carry around.\r\n\r\nDemo submissions that do not meet one or more of the guidelines above will be included in the poster session and will be evaluated as a regular submission, but they will not be considered for prizes.\r\n\r\nThe competition will take place if <strong>at least 5 teams<\/strong> respond to this preliminary call for competition.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Competition Categories\"]\r\n\r\nDepending on the nature and number of submissions multiple categories might be defined based on the accuracy (i.e., point-based vs. area based), the size, the cost, or the type (i.e., software vs. hardware) of the proposed solution. The final set of categories will be announced after the registration deadline.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Poster Session\"]\r\n\r\nA poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.\r\n\r\n[panel header=\"Evaluation and Prize\"]\r\n\r\nResults are judged based on both room\/zone level accuracy and absolute accuracy, and an award will be given for the top 2 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning team in each category will be invited to present their approach at the conference, and receive a cash award.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Submission Guidelines\"]\r\n\r\nContesters must submit an abstract describing their approach and deployment requirements by the contest registration deadline. Submissions are treated as confidential until the competition. Submissions must be at most one (1) single-spaced 8.5\" x 11\" pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2014 papers. Templates can be found <a href=\"http:\/\/ipsn.acm.org\/2014\/submissions.html\">here<\/a>.\r\n\r\n[\/panel]\r\n\r\n[\/accordion]\r\n<p align=\"justify\"><\/p>"}],"msr_startdate":"2014-04-13","msr_enddate":"2014-04-15","msr_event_time":"","msr_location":"Berlin, Germany","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"April 13, 2014","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance in the same space.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/199902","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/199902\/revisions"}],"predecessor-version":[{"id":1147391,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/199902\/revisions\/1147391"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=199902"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=199902"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=199902"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=199902"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=199902"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=199902"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=199902"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=199902"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=199902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}