{"id":446250,"date":"2017-12-11T11:15:19","date_gmt":"2017-12-11T19:15:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=446250"},"modified":"2025-08-06T11:57:31","modified_gmt":"2025-08-06T18:57:31","slug":"microsoft-indoor-localization-competition-ipsn-2018","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2018\/","title":{"rendered":"Microsoft Indoor Localization Competition &#8211; IPSN 2018"},"content":{"rendered":"\n\n<p><strong>Registration\u00a0Deadline:<\/strong> All teams must submit a <strong>2-page abstract by February 11th 2018<\/strong>. For more details, please read\u00a0the Call for Contesters.<\/p>\n<p><b>Contact:<\/b> For questions and clarifications, please contact Dimitrios Lymberopoulos at: dlymper@microsoft.com<\/p>\n<p><strong>Sponsors<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-476970 size-medium\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-300x110.png\" alt=\"\" width=\"300\" height=\"110\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-300x110.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-768x283.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-1024x377.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/woltag.com\/wp-content\/photos\/2015\/08\/bosch-logo.png\" alt=\"See the source image\" width=\"303\" height=\"72\" \/><\/p>\n<p><strong>Organizers:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlymper\/\">Dimitrios Lymberopoulos<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Microsoft Research)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/liuj\/\">Jie Liu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Microsoft Research)<\/li>\n<li>Vitor Sequeira (European Commission &#8211; Joint Research Center)<\/li>\n<li>Vivek Jain (Robert Bosch LLC)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/www.cs.ox.ac.uk\/niki.trigoni\/\">Niki Trigoni <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>(University of Oxford)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/users.ece.cmu.edu\/~agr\/\">Anthony Rowe <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>(Carnegie Mellon)<\/li>\n<li>Nader Moayeri (NIST)<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>The slide deck that was used during the official results announcement session can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/RELEASED_2018-Microsoft-Indoor-Localization-Competition.pptx\">HERE<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n<p>The detailed ground truth measurements and error visualization for each team, as well as the 3D point cloud of the evaluation area can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGhI4mVSkWF2Hp2UgYiQ\">HERE<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. Each team is assigned a short acronym comprised of 2-4 letters. There is an excel file for each category (2D and 3D) that maps the full submissions to these acronyms. <strong>Important note<\/strong>: these results have been further refined since the official announcement of the results to better synchronize the system under test and the ground truth system. As a result, some teams might see slight differences in the reported accuracies in this data when compared to the graphs below. These differences have no impact on the ranking of the top teams. Ranking only changed for a few teams towards the tail.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480423\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-1024x581.jpg\" alt=\"\" width=\"1024\" height=\"581\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-1024x581.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-300x170.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-768x436.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults.jpg 1826w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Note 1: Organizers considered Naviguy and Ariel University to have the same accuracy as the difference of 10cm is well within the error of this type of technologies. Given that Naviguy had to be explicitly initialized to a known location at the beginning of the evaluation, Ariel University takes the first place, and Naviguy the second place.<\/strong><\/p>\n<p><strong>Note 2: Given that we had only 7 submissions in the 2D category, only the top 2 teams are eligible for awards.<\/strong><\/p>\n<p>Note 3: Rea et al. had 2 of their 10 APs fail during the evaluation. In addition, they used the wrong system configuration during evaluation. After fixing some of the issues, and re-processing the data after the competition, the team reported an improved accuracy of 3.39m.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480426\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-1024x563.jpg\" alt=\"\" width=\"1024\" height=\"563\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-1024x563.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-300x165.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-768x422.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults.jpg 1988w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><strong>Notes: Organizers considered SND Smart Ltd and Yodel Labs\u00a0to have the same accuracy.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>This is the final list of winners and their prizes:<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480429\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-1024x572.jpg\" alt=\"\" width=\"1024\" height=\"572\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-1024x572.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-300x168.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-768x429.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results.jpg 1780w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/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-1372\"}' 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-1372\"\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-1371\"\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-1371\"\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-1372\"\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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>up to\u00a010 devices <\/strong>(this number is tentative and it will be finalized after the submission deadline). Normal RF interference is expected, but no jammers from 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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>at least 5 teams<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>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-1374\"}' 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-1374\"\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-1373\"\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-1373\"\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-1374\"\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.<\/p>\n<p>Given our past experience, this year we expect to have the following categories (note that these categories have not been finalized. The final categories will be announced shortly after the registration deadline and they will depend on the number and type of submissions received):<\/p>\n<ol>\n<li><em>Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category should be able to work with unmodified commercial off-the-shelf devices such as laptops, phones, and tablets. In this category, the unmodified COTS device is localized. Teams in this category will<span class=\"Apple-converted-space\">\u00a0<\/span><strong>not<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>be allowed to interface any custom hardware to the COTS devices (i.e., UWB or ultrasound hardware). Only changes to the software of the devices will be allowed. Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area.<\/li>\n<li><em>Commercial off-the-shelf (COTS) Technologies with Initialization<\/em>: Submissions in this category should meet all the criteria of the COTS Technologies category, with the additional requirement to initialize the location of the COTS device being localized to a ground truth location before the evaluation.<\/li>\n<li><em>Modified Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category could interface custom hardware to the COTS devices to be localized (i.e., UWB or ultrasound hardware). Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area. Most, if not all, submissions in this category are expected to be infrastructure-based.<\/li>\n<\/ol>\n<p>For instance:<\/p>\n<ul>\n<li>WiFi fingerprinting approaches that also leverage inertial sensors will be classified as infrastructure-free COTS Technologies as they do not require to interface any custom hardware to the COTS device being localized.<\/li>\n<li>WiFi fingerprinting approaches that also deploy custom BLE beacons in the evaluation area will be classified as infrastructure-based COTS Technologies as they don\u2019t modify the COTS device being localized, but they require the deployment of custom hardware.<\/li>\n<li>Approaches based on inertial sensing that require to be initialized to a ground truth location before being evaluated will be classified as COTS Technologies with Initialization.<\/li>\n<li>UWB approaches will be classified as infrastructure-based modified COTS Technologies as they require modifications to the COTS device being localized, and they need to deploy custom hardware in the evaluation area.<\/li>\n<\/ul>\n<p>In this year\u2019s competition, teams will be required to report 3D locations (X,Y,Z). The evaluation area we have reserved, even though it does not contain multiple floors, it includes locations with different elevation characteristics. On top of that, we plan to place the devices to be localized at different heights during the competition to evaluate the 3D localization accuracy of each team.<\/p>\n<p><strong>Not all teams will have to report 3D locations<\/strong>. We understand that some technologies are not suited for 3D localization (i.e., WiFi\/geo-magnetic fingerprinting, dead reckoning, BLE-based etc.), but they are still excellent candidates for commercial indoor location systems. With this in mind, the organizers will determine shortly after the registration deadline which teams will be classified as 3D localization teams. It is not up to the individual teams to decide if they will report 2D or 3D locations. The organizers will ensure that all the teams in a given category will either report 2D or 3D locations. There will be no categories containing both 2D and 3D localization teams.<\/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-1376\"}' 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-1376\"\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-1375\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tAcceptable Technologies\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-1375\"\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-1376\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>LiDAR-based systems will not be accepted to the competition this year. LiDAR is reserved for ground truth measurements. Also, the use of laser range finders is allowed only during the setup of each system and not during its evaluation.<\/p>\n<p>Other than the LiDAR and laser range finder restrictions outlined above, there are no other technology restrictions.<\/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-1378\"}' 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-1378\"\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-1377\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEvaluation and Prizes\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-1377\"\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-1378\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Results are judged based on accuracy, and an award will be given to the top 3 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning teams in each category will be invited to present their approach at the conference, and receive a cash award. The exact accuracy metrics that will be used during evaluation will be announced shortly before the competition takes place.<\/p>\n<p><strong>Traditionally, teams were evaluated on their accuracy in estimating locations of individual points. This year, teams will be evaluated on their tracking accuracy as opposed to point accuracy. Each system under test will be taken through a pre-determined path and will output its estimated location at a predetermined rate while walking along the path. The system that will be able to approximate the ground truth path with the highest overall accuracy wins. Organizers will provide more details about the evaluation process and its logistics as we get closer to the competition.<\/strong><\/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-1380\"}' 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-1380\"\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-1379\"\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-1379\"\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-1380\"\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><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-1382\"}' 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-1382\"\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-1381\"\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-1381\"\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-1382\"\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 two (2) single-spaced 8.5\u2033 x 11\u2033 pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2018 papers.<span class=\"Apple-converted-space\">\u00a0<\/span><strong>Abstracts should include the names and affiliations of all authors<\/strong>. Templates can be found<span class=\"Apple-converted-space\">\u00a0<\/span><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2018\/submission.html?v=1\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. Abstracts should be sent over email to: dlymper@microsoft.com <strong>on or before February 11th 2018 <\/strong>with the following subject line: 2018 Microsoft Indoor Localization Competition Submission.<\/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>&nbsp;<span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>More details about the competition space and the evaluation process can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/competitionlogistics_2018.pptx\">HERE<\/a><\/p>\n<p>Please read this information carefully! This year, each team is required to provide an output text file with the recorded locations at the end of the evaluation. More details are in the document linked above.<\/p>\n<p>A tentative schedule for the competition is provided below:<\/p>\n<table style=\"height: 49px;border-collapse: collapse;border-spacing: inherit\" width=\"830\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Day \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Time \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Description<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 10th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 &#8211; 17:00<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Setup Day. All teams meet at the evaluation area at 8:30am to go over the rules.<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 11th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 &#8211; 17:00<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Evaluation Day. All teams are evaluated during their pre-assigned time slots<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 12th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">11:30 &#8211; 12:30<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Official Results Anouncement<\/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<p><strong>34<\/strong> indoor location systems from <strong>31<\/strong> teams have registered to participate to the competition. Given the type and number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (12 submissions) and <em>Infrastructure-Based <\/em>(22 submissions) systems. A list of all the teams in each of the categories is provided below.<\/p>\n<p><strong>All teams that have been assigned an evaluation time slot have at least one member officially registered. Teams that have not been assigned an evaluation time slot will not be allowed to compete during the competition. The data in the table below reflects registrations as of March 20th 2018.<\/strong><\/p>\n<h2 style=\"text-align: center\">Infrastructure-Free (2D Localization)<\/h2>\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Evaluation Time Slot<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2_2018.pdf\"><span style=\"color: #ff0000\">Qu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Tongji University\/Naviguy<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Inertial Sensing Approach for Indoor Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">8:30-8:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2018.pdf\">Qu et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Tongji University\/Naviguy<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Localization Fusion System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">8:45-9:00\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Boaz_Moshe_2018.pdf\"><span style=\"color: #ff0000\">Ben-Moshe et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Israel &#8211; Ariel University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">GoIn &#8211; An Accurate InDoor Navigation Framework for Mobile Devices <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10-10:15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yael_Landau_2018.pdf\">Ben-Moshe et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Israel &#8211; Ariel University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Steps &#8211; An Accurate Relative Positioning Method for First-Responders<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:15-10:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Miguel_Martinez_2018.pdf\"><span style=\"color: #ff0000\">Martinez et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Spain &#8211; Universidad de Castilla-La Mancha<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">An Indoor Localization System Based on Particle Filters and Real-Time Range-Free Estimation Method<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Liqiang_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Tianjin University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementation of Real-Time Pedestrian Navigation System using Foot-Mounted IMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Devesh_Joshi_2018.pdf\"><span style=\"color: #ff0000\">Joshi et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India &#8211; IIT Delhi<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">PDR-RSS Based Indoor Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Maurizio_Rea_2018.pdf\">Rea et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Spain &#8211; IMDEA Networks Institute <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">TWINS: Time-of-Flight Based Wireless Indoor Navigation System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9-9:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Chaojun_Xu_2018.pdf\"><span style=\"color: #ff0000\">Xu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Nokia\/Tongji university\/Naviguy\/Ruijie Networks<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization Based on CSI and Mobile Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:15-9:30\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/FirewayTech_2018.pdf\">Fineway et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Beijing Fineway Technology Ltd. Co. <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">An Inertial Sensor-based Indoor Location Tracking Solution<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9:30-9:45\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Muhammad_Ali_2018.pdf\"><span style=\"color: #ff0000\">Ali et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">South Korea &#8211; Yeungnam University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Infrastructure-free Indoor Positioning System Using Smart Phone Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:45-10<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hailu_Jia_2018.pdf\">Jia et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Center for Indoor Positioning Studies <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Geomagnetism and WiFi Fingerprint Fusion Based Indoor Location<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A <\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: center\">Infrastructure-Based (3D Localization)<\/h2>\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Eval. Time Slot<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Bo_Lin_2018.pdf\"><span style=\"color: #ff0000\">Lin et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; China Academy of Electronics and Information Tech.\/Beijing Institute of Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">VL-Loc: An Indoor Localization System Based on Mobile Phone and Illumination Facility<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:30-15:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hongda_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; ElegenTech Co.\/Nanjing University of Aeronautics and Astronautics<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Low Cost 3D Positioning Solution of High Accuracy and High Refresh Rate for Robot Control<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:30-10:45\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/SKM_2018.pdf\"><span style=\"color: #ff0000\">Kukovyakina et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Russia &#8211; National Research University MPEI<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">SKM: low-cost precise positioning based on TDoA UWB and MEMS IMU <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:45-11<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Meichuan_Huang_2018.pdf\"><span style=\"color: #ff0000\">Huang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Zhejiang University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">AALOC: An Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11-11:15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Milin_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. &#8211; Zhejiang University\/University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AIDLOC: An Accurate Acoustic 3D Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:15-11:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_MAIDLOC_2018.pdf\"><span style=\"color: #ff0000\">Zhang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China\/U.K. &#8211; Zhejiang University\/University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">MAIDLOC: A Modified Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:30-11:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yannic_Schroder_2018.pdf\">Schroder et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; TU Braunschweig<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">InPhase: No-Cost Phase-Based Ranging and Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:45-12\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Andrew_Ansell_2018.pdf\"><span style=\"color: #ff0000\">Ansell et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">U.K. &#8211; RaceLogic<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning System for Highly Dynamic Applications <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12-12:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. &#8211; Zhejiang University\/ University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RA2LOC: A Robust Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">12:15-12:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Janis_Tiemann_2018.pdf\"><span style=\"color: #ff0000\">Tiemann et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Germany &#8211; TU Dortmund University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ATLAS: TDOA-based UWB Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14-14:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Gunes et al..<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; Quantitec GmbH<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">IntraNav &#8211; Low-cost Indoor Localization System and IoT Platform<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Feng_Gao_2018.pdf\"><span style=\"color: #ff0000\">Gao et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; SND Smart Ltd. Com.\/ATE Electronics Ltd. Com.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">NavInThings &#8211; An Indoor Localization and Navigation System based on UWB<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:15-14:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Collier_2018.pdf\">Collier et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> France &#8211; INTELLIDOM <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> UWB-Based Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:45-16:00\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Santu_Sardar_2018.pdf\"><span style=\"color: #ff0000\">Sardar et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India\/South Africa &#8211; IIT Hyderabad\/University of Cape Town<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System Based on Commensal Radar Principle <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hui_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Saudi Arabia &#8211; King Abdullah University of Science and Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">KAUST Acoustic Positioning System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Subham_De_2018.pdf\">De et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; UIUC<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Finding by Counting &#8211; A Packet Count Based Indoor Localization Technique Using BLE Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Jun_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">3D Indoor Localization with Commercial-off-the-shelf UWB Radios<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:30-14:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Strachen et al..<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; University of Wisconsin-Madison<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Accurate Indoor Navigation with Spinning Magnets<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Saad_Iqbal_2018.pdf\">Iqbal et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Pakistan &#8211; National University of Sciences and Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RSSI Based Indoor Localization Using RF Beacons<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Patrick_Lazik_2018.pdf\">Lazik et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; CMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ALPS: The Acoustic Location Processing System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:15-15:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/John_Miller_2018.pdf\">Miller et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; CMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Realty and Reality: Where Location Matters<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:45-15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Johannes_2018_Competition.pdf\">Schmitz et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> Germany &#8211; RWTH Aachen University\/Roboter Club Aachen e.V.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultrasound-based Cooperative Indoor Localization for Robotic Applications<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15-15:15<\/span><\/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<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2017\/\">2017 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\/\">2015 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2014\/\">2014 Microsoft Indoor Localization Competition<\/a><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<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","protected":false},"featured_media":449811,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2018-04-10","msr_enddate":"2018-04-11","msr_location":"Porto, Portugal","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-region":[239178],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-446250","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-region-europe","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Microsoft Indoor Localization Competition - IPSN 2018\",\"backgroundColor\":\"grey\",\"image\":{\"id\":449811,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night.jpg\",\"alt\":\"\"}} \/-->\n\n<!-- wp:msr\/content-tabs --><!-- wp:msr\/content-tab {\"title\":\"Official Results\"} --><!-- wp:freeform --><p><strong>Registration\u00a0Deadline:<\/strong> All teams must submit a <strong>2-page abstract by February 11th 2018<\/strong>. For more details, please read\u00a0the Call for Contesters.<\/p>\n<p><b>Contact:<\/b> For questions and clarifications, please contact Dimitrios Lymberopoulos at: dlymper@microsoft.com<\/p>\n<p><strong>Sponsors<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-476970 size-medium\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-300x110.png\" alt=\"\" width=\"300\" height=\"110\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-300x110.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-768x283.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/MSFT_logo_rgb_C-Gray-1024x377.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/woltag.com\/wp-content\/photos\/2015\/08\/bosch-logo.png\" alt=\"See the source image\" width=\"303\" height=\"72\" \/><\/p>\n<p><strong>Organizers:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dlymper\/\">Dimitrios Lymberopoulos<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Microsoft Research)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/liuj\/\">Jie Liu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Microsoft Research)<\/li>\n<li>Vitor Sequeira (European Commission &#8211; Joint Research Center)<\/li>\n<li>Vivek Jain (Robert Bosch LLC)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/www.cs.ox.ac.uk\/niki.trigoni\/\">Niki Trigoni <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>(University of Oxford)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/users.ece.cmu.edu\/~agr\/\">Anthony Rowe <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>(Carnegie Mellon)<\/li>\n<li>Nader Moayeri (NIST)<\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p>The slide deck that was used during the official results announcement session can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/RELEASED_2018-Microsoft-Indoor-Localization-Competition.pptx\">HERE<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n<p>The detailed ground truth measurements and error visualization for each team, as well as the 3D point cloud of the evaluation area can be found <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGhI4mVSkWF2Hp2UgYiQ\">HERE<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. Each team is assigned a short acronym comprised of 2-4 letters. There is an excel file for each category (2D and 3D) that maps the full submissions to these acronyms. <strong>Important note<\/strong>: these results have been further refined since the official announcement of the results to better synchronize the system under test and the ground truth system. As a result, some teams might see slight differences in the reported accuracies in this data when compared to the graphs below. These differences have no impact on the ranking of the top teams. Ranking only changed for a few teams towards the tail.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480423\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-1024x581.jpg\" alt=\"\" width=\"1024\" height=\"581\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-1024x581.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-300x170.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-768x436.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults.jpg 1826w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Note 1: Organizers considered Naviguy and Ariel University to have the same accuracy as the difference of 10cm is well within the error of this type of technologies. Given that Naviguy had to be explicitly initialized to a known location at the beginning of the evaluation, Ariel University takes the first place, and Naviguy the second place.<\/strong><\/p>\n<p><strong>Note 2: Given that we had only 7 submissions in the 2D category, only the top 2 teams are eligible for awards.<\/strong><\/p>\n<p>Note 3: Rea et al. had 2 of their 10 APs fail during the evaluation. In addition, they used the wrong system configuration during evaluation. After fixing some of the issues, and re-processing the data after the competition, the team reported an improved accuracy of 3.39m.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480426\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-1024x563.jpg\" alt=\"\" width=\"1024\" height=\"563\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-1024x563.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-300x165.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-768x422.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults.jpg 1988w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><strong>Notes: Organizers considered SND Smart Ltd and Yodel Labs\u00a0to have the same accuracy.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>This is the final list of winners and their prizes:<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-480429\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-1024x572.jpg\" alt=\"\" width=\"1024\" height=\"572\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-1024x572.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-300x168.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-768x429.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results.jpg 1780w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<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>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-1372\"}' 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-1372\"\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-1371\"\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-1371\"\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-1372\"\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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>up to\u00a010 devices <\/strong>(this number is tentative and it will be finalized after the submission deadline). Normal RF interference is expected, but no jammers from 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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>at least 5 teams<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>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-1374\"}' 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-1374\"\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-1373\"\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-1373\"\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-1374\"\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.<\/p>\n<p>Given our past experience, this year we expect to have the following categories (note that these categories have not been finalized. The final categories will be announced shortly after the registration deadline and they will depend on the number and type of submissions received):<\/p>\n<ol>\n<li><em>Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category should be able to work with unmodified commercial off-the-shelf devices such as laptops, phones, and tablets. In this category, the unmodified COTS device is localized. Teams in this category will<span class=\"Apple-converted-space\">\u00a0<\/span><strong>not<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>be allowed to interface any custom hardware to the COTS devices (i.e., UWB or ultrasound hardware). Only changes to the software of the devices will be allowed. Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area.<\/li>\n<li><em>Commercial off-the-shelf (COTS) Technologies with Initialization<\/em>: Submissions in this category should meet all the criteria of the COTS Technologies category, with the additional requirement to initialize the location of the COTS device being localized to a ground truth location before the evaluation.<\/li>\n<li><em>Modified Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category could interface custom hardware to the COTS devices to be localized (i.e., UWB or ultrasound hardware). Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area. Most, if not all, submissions in this category are expected to be infrastructure-based.<\/li>\n<\/ol>\n<p>For instance:<\/p>\n<ul>\n<li>WiFi fingerprinting approaches that also leverage inertial sensors will be classified as infrastructure-free COTS Technologies as they do not require to interface any custom hardware to the COTS device being localized.<\/li>\n<li>WiFi fingerprinting approaches that also deploy custom BLE beacons in the evaluation area will be classified as infrastructure-based COTS Technologies as they don\u2019t modify the COTS device being localized, but they require the deployment of custom hardware.<\/li>\n<li>Approaches based on inertial sensing that require to be initialized to a ground truth location before being evaluated will be classified as COTS Technologies with Initialization.<\/li>\n<li>UWB approaches will be classified as infrastructure-based modified COTS Technologies as they require modifications to the COTS device being localized, and they need to deploy custom hardware in the evaluation area.<\/li>\n<\/ul>\n<p>In this year\u2019s competition, teams will be required to report 3D locations (X,Y,Z). The evaluation area we have reserved, even though it does not contain multiple floors, it includes locations with different elevation characteristics. On top of that, we plan to place the devices to be localized at different heights during the competition to evaluate the 3D localization accuracy of each team.<\/p>\n<p><strong>Not all teams will have to report 3D locations<\/strong>. We understand that some technologies are not suited for 3D localization (i.e., WiFi\/geo-magnetic fingerprinting, dead reckoning, BLE-based etc.), but they are still excellent candidates for commercial indoor location systems. With this in mind, the organizers will determine shortly after the registration deadline which teams will be classified as 3D localization teams. It is not up to the individual teams to decide if they will report 2D or 3D locations. The organizers will ensure that all the teams in a given category will either report 2D or 3D locations. There will be no categories containing both 2D and 3D localization teams.<\/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-1376\"}' 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-1376\"\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-1375\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tAcceptable Technologies\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-1375\"\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-1376\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>LiDAR-based systems will not be accepted to the competition this year. LiDAR is reserved for ground truth measurements. Also, the use of laser range finders is allowed only during the setup of each system and not during its evaluation.<\/p>\n<p>Other than the LiDAR and laser range finder restrictions outlined above, there are no other technology restrictions.<\/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-1378\"}' 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-1378\"\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-1377\"\n\t\t\t\ttype=\"button\"\n\t\t\t>\n\t\t\t\tEvaluation and Prizes\t\t\t<\/button>\n\t\t<\/div>\n\t\t<div\n\t\t\taria-labelledby=\"accordion-button-1377\"\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-1378\"\n\t\t>\n\t\t\t<div class=\"msr-accordion__body\">\n\t\t\t\t<p>Results are judged based on accuracy, and an award will be given to the top 3 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning teams in each category will be invited to present their approach at the conference, and receive a cash award. The exact accuracy metrics that will be used during evaluation will be announced shortly before the competition takes place.<\/p>\n<p><strong>Traditionally, teams were evaluated on their accuracy in estimating locations of individual points. This year, teams will be evaluated on their tracking accuracy as opposed to point accuracy. Each system under test will be taken through a pre-determined path and will output its estimated location at a predetermined rate while walking along the path. The system that will be able to approximate the ground truth path with the highest overall accuracy wins. Organizers will provide more details about the evaluation process and its logistics as we get closer to the competition.<\/strong><\/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-1380\"}' 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-1380\"\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-1379\"\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-1379\"\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-1380\"\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><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-1382\"}' 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-1382\"\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-1381\"\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-1381\"\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-1382\"\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 two (2) single-spaced 8.5\u2033 x 11\u2033 pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2018 papers.<span class=\"Apple-converted-space\">\u00a0<\/span><strong>Abstracts should include the names and affiliations of all authors<\/strong>. Templates can be found<span class=\"Apple-converted-space\">\u00a0<\/span><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"http:\/\/ipsn.acm.org\/2018\/submission.html?v=1\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. Abstracts should be sent over email to: dlymper@microsoft.com <strong>on or before February 11th 2018 <\/strong>with the following subject line: 2018 Microsoft Indoor Localization Competition Submission.<\/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>&nbsp;<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 --><p>More details about the competition space and the evaluation process can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/competitionlogistics_2018.pptx\">HERE<\/a><\/p>\n<p>Please read this information carefully! This year, each team is required to provide an output text file with the recorded locations at the end of the evaluation. More details are in the document linked above.<\/p>\n<p>A tentative schedule for the competition is provided below:<\/p>\n<table style=\"height: 49px;border-collapse: collapse;border-spacing: inherit\" width=\"830\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Day \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Time \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Description<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 10th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 &#8211; 17:00<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Setup Day. All teams meet at the evaluation area at 8:30am to go over the rules.<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 11th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 &#8211; 17:00<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Evaluation Day. All teams are evaluated during their pre-assigned time slots<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 12th<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">11:30 &#8211; 12:30<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\">Official Results Anouncement<\/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<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Competing Teams\"} --><!-- wp:freeform --><p><strong>34<\/strong> indoor location systems from <strong>31<\/strong> teams have registered to participate to the competition. Given the type and number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (12 submissions) and <em>Infrastructure-Based <\/em>(22 submissions) systems. A list of all the teams in each of the categories is provided below.<\/p>\n<p><strong>All teams that have been assigned an evaluation time slot have at least one member officially registered. Teams that have not been assigned an evaluation time slot will not be allowed to compete during the competition. The data in the table below reflects registrations as of March 20th 2018.<\/strong><\/p>\n<h2 style=\"text-align: center\">Infrastructure-Free (2D Localization)<\/h2>\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Evaluation Time Slot<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2_2018.pdf\"><span style=\"color: #ff0000\">Qu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Tongji University\/Naviguy<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Inertial Sensing Approach for Indoor Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">8:30-8:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2018.pdf\">Qu et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Tongji University\/Naviguy<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Localization Fusion System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">8:45-9:00\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Boaz_Moshe_2018.pdf\"><span style=\"color: #ff0000\">Ben-Moshe et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Israel &#8211; Ariel University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">GoIn &#8211; An Accurate InDoor Navigation Framework for Mobile Devices <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10-10:15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yael_Landau_2018.pdf\">Ben-Moshe et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Israel &#8211; Ariel University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Steps &#8211; An Accurate Relative Positioning Method for First-Responders<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:15-10:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Miguel_Martinez_2018.pdf\"><span style=\"color: #ff0000\">Martinez et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Spain &#8211; Universidad de Castilla-La Mancha<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">An Indoor Localization System Based on Particle Filters and Real-Time Range-Free Estimation Method<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Liqiang_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Tianjin University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementation of Real-Time Pedestrian Navigation System using Foot-Mounted IMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Devesh_Joshi_2018.pdf\"><span style=\"color: #ff0000\">Joshi et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India &#8211; IIT Delhi<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">PDR-RSS Based Indoor Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Maurizio_Rea_2018.pdf\">Rea et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Spain &#8211; IMDEA Networks Institute <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">TWINS: Time-of-Flight Based Wireless Indoor Navigation System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9-9:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Chaojun_Xu_2018.pdf\"><span style=\"color: #ff0000\">Xu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Nokia\/Tongji university\/Naviguy\/Ruijie Networks<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization Based on CSI and Mobile Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:15-9:30\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/FirewayTech_2018.pdf\">Fineway et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Beijing Fineway Technology Ltd. Co. <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">An Inertial Sensor-based Indoor Location Tracking Solution<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9:30-9:45\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Muhammad_Ali_2018.pdf\"><span style=\"color: #ff0000\">Ali et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">South Korea &#8211; Yeungnam University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Infrastructure-free Indoor Positioning System Using Smart Phone Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:45-10<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hailu_Jia_2018.pdf\">Jia et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Center for Indoor Positioning Studies <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Geomagnetism and WiFi Fingerprint Fusion Based Indoor Location<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A <\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: center\">Infrastructure-Based (3D Localization)<\/h2>\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\n<tbody>\n<tr style=\"background-color: #0078d7\">\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Eval. Time Slot<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Bo_Lin_2018.pdf\"><span style=\"color: #ff0000\">Lin et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; China Academy of Electronics and Information Tech.\/Beijing Institute of Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">VL-Loc: An Indoor Localization System Based on Mobile Phone and Illumination Facility<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:30-15:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hongda_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; ElegenTech Co.\/Nanjing University of Aeronautics and Astronautics<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Low Cost 3D Positioning Solution of High Accuracy and High Refresh Rate for Robot Control<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:30-10:45\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/SKM_2018.pdf\"><span style=\"color: #ff0000\">Kukovyakina et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Russia &#8211; National Research University MPEI<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">SKM: low-cost precise positioning based on TDoA UWB and MEMS IMU <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:45-11<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Meichuan_Huang_2018.pdf\"><span style=\"color: #ff0000\">Huang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Zhejiang University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">AALOC: An Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11-11:15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Milin_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. &#8211; Zhejiang University\/University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AIDLOC: An Accurate Acoustic 3D Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:15-11:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_MAIDLOC_2018.pdf\"><span style=\"color: #ff0000\">Zhang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China\/U.K. &#8211; Zhejiang University\/University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">MAIDLOC: A Modified Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:30-11:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yannic_Schroder_2018.pdf\">Schroder et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; TU Braunschweig<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">InPhase: No-Cost Phase-Based Ranging and Localization<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:45-12\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Andrew_Ansell_2018.pdf\"><span style=\"color: #ff0000\">Ansell et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">U.K. &#8211; RaceLogic<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning System for Highly Dynamic Applications <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12-12:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. &#8211; Zhejiang University\/ University of West London<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RA2LOC: A Robust Accurate Acoustic Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">12:15-12:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Janis_Tiemann_2018.pdf\"><span style=\"color: #ff0000\">Tiemann et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Germany &#8211; TU Dortmund University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ATLAS: TDOA-based UWB Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14-14:15\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Gunes et al..<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; Quantitec GmbH<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">IntraNav &#8211; Low-cost Indoor Localization System and IoT Platform<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Feng_Gao_2018.pdf\"><span style=\"color: #ff0000\">Gao et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; SND Smart Ltd. Com.\/ATE Electronics Ltd. Com.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">NavInThings &#8211; An Indoor Localization and Navigation System based on UWB<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:15-14:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Collier_2018.pdf\">Collier et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> France &#8211; INTELLIDOM <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> UWB-Based Indoor Localization System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:45-16:00\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Santu_Sardar_2018.pdf\"><span style=\"color: #ff0000\">Sardar et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India\/South Africa &#8211; IIT Hyderabad\/University of Cape Town<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System Based on Commensal Radar Principle <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hui_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Saudi Arabia &#8211; King Abdullah University of Science and Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">KAUST Acoustic Positioning System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Subham_De_2018.pdf\">De et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; UIUC<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Finding by Counting &#8211; A Packet Count Based Indoor Localization Technique Using BLE Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Jun_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">3D Indoor Localization with Commercial-off-the-shelf UWB Radios<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:30-14:45<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Strachen et al..<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; University of Wisconsin-Madison<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Accurate Indoor Navigation with Spinning Magnets<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Saad_Iqbal_2018.pdf\">Iqbal et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Pakistan &#8211; National University of Sciences and Technology<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RSSI Based Indoor Localization Using RF Beacons<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Patrick_Lazik_2018.pdf\">Lazik et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA &#8211; CMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ALPS: The Acoustic Location Processing System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:15-15:30<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/John_Miller_2018.pdf\">Miller et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; CMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Realty and Reality: Where Location Matters<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:45-15<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Johannes_2018_Competition.pdf\">Schmitz et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> Germany &#8211; RWTH Aachen University\/Roboter Club Aachen e.V.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultrasound-based Cooperative Indoor Localization for Robotic Applications<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15-15:15<\/span><\/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<!-- \/wp:freeform --><!-- \/wp:msr\/content-tab --><!-- wp:msr\/content-tab {\"title\":\"Previous Competitions\"} --><!-- wp:freeform --><p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2017\/\">2017 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\/\">2015 Microsoft Indoor Localization Competition<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2014\/\">2014 Microsoft Indoor Localization Competition<\/a><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":"Official Results","content":"The slide deck that was used during the official results announcement session can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/RELEASED_2018-Microsoft-Indoor-Localization-Competition.pptx\">HERE<\/a>.\r\n\r\nThe detailed ground truth measurements and error visualization for each team, as well as the 3D point cloud of the evaluation area can be found <a href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGhI4mVSkWF2Hp2UgYiQ\">HERE<\/a>. Each team is assigned a short acronym comprised of 2-4 letters. There is an excel file for each category (2D and 3D) that maps the full submissions to these acronyms. <strong>Important note<\/strong>: these results have been further refined since the official announcement of the results to better synchronize the system under test and the ground truth system. As a result, some teams might see slight differences in the reported accuracies in this data when compared to the graphs below. These differences have no impact on the ranking of the top teams. Ranking only changed for a few teams towards the tail.\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignnone size-large wp-image-480423\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/2DResults-1024x581.jpg\" alt=\"\" width=\"1024\" height=\"581\" \/>\r\n\r\n&nbsp;\r\n\r\n<strong>Note 1: Organizers considered Naviguy and Ariel University to have the same accuracy as the difference of 10cm is well within the error of this type of technologies. Given that Naviguy had to be explicitly initialized to a known location at the beginning of the evaluation, Ariel University takes the first place, and Naviguy the second place.<\/strong>\r\n\r\n<strong>Note 2: Given that we had only 7 submissions in the 2D category, only the top 2 teams are eligible for awards.<\/strong>\r\n\r\nNote 3: Rea et al. had 2 of their 10 APs fail during the evaluation. In addition, they used the wrong system configuration during evaluation. After fixing some of the issues, and re-processing the data after the competition, the team reported an improved accuracy of 3.39m.\r\n\r\n&nbsp;\r\n\r\n<img class=\"alignnone size-large wp-image-480426\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/3DResults-1024x563.jpg\" alt=\"\" width=\"1024\" height=\"563\" \/>\r\n\r\n<strong>Notes: Organizers considered SND Smart Ltd and Yodel Labs\u00a0to have the same accuracy.<\/strong>\r\n\r\n&nbsp;\r\n\r\n<strong>This is the final list of winners and their prizes:<\/strong>\r\n\r\n<img class=\"alignnone size-large wp-image-480429\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Results-1024x572.jpg\" alt=\"\" width=\"1024\" height=\"572\" \/>\r\n\r\n&nbsp;"},{"id":1,"name":"Call for Contesters","content":"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.\r\n\r\n[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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>up to\u00a010 devices <\/strong>(this number is tentative and it will be finalized after the submission deadline). Normal RF interference is expected, but no jammers from 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<span class=\"Apple-converted-space\">\u00a0<\/span><strong>at least 5 teams<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>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.\r\n\r\nGiven our past experience, this year we expect to have the following categories (note that these categories have not been finalized. The final categories will be announced shortly after the registration deadline and they will depend on the number and type of submissions received):\r\n<ol>\r\n \t<li><em>Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category should be able to work with unmodified commercial off-the-shelf devices such as laptops, phones, and tablets. In this category, the unmodified COTS device is localized. Teams in this category will<span class=\"Apple-converted-space\">\u00a0<\/span><strong>not<\/strong><span class=\"Apple-converted-space\">\u00a0<\/span>be allowed to interface any custom hardware to the COTS devices (i.e., UWB or ultrasound hardware). Only changes to the software of the devices will be allowed. Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area.<\/li>\r\n \t<li><em>Commercial off-the-shelf (COTS) Technologies with Initialization<\/em>: Submissions in this category should meet all the criteria of the COTS Technologies category, with the additional requirement to initialize the location of the COTS device being localized to a ground truth location before the evaluation.<\/li>\r\n \t<li><em>Modified Commercial off-the-shelf (COTS) Technologies<\/em>: Submissions in this category could interface custom hardware to the COTS devices to be localized (i.e., UWB or ultrasound hardware). Submissions in this category could be further classified to infrastructure-based and infrastructure-free depending on their requirement to deploy custom hardware (i.e., BLE beacons) in the evaluation area. Most, if not all, submissions in this category are expected to be infrastructure-based.<\/li>\r\n<\/ol>\r\nFor instance:\r\n<ul>\r\n \t<li>WiFi fingerprinting approaches that also leverage inertial sensors will be classified as infrastructure-free COTS Technologies as they do not require to interface any custom hardware to the COTS device being localized.<\/li>\r\n \t<li>WiFi fingerprinting approaches that also deploy custom BLE beacons in the evaluation area will be classified as infrastructure-based COTS Technologies as they don\u2019t modify the COTS device being localized, but they require the deployment of custom hardware.<\/li>\r\n \t<li>Approaches based on inertial sensing that require to be initialized to a ground truth location before being evaluated will be classified as COTS Technologies with Initialization.<\/li>\r\n \t<li>UWB approaches will be classified as infrastructure-based modified COTS Technologies as they require modifications to the COTS device being localized, and they need to deploy custom hardware in the evaluation area.<\/li>\r\n<\/ul>\r\nIn this year\u2019s competition, teams will be required to report 3D locations (X,Y,Z). The evaluation area we have reserved, even though it does not contain multiple floors, it includes locations with different elevation characteristics. On top of that, we plan to place the devices to be localized at different heights during the competition to evaluate the 3D localization accuracy of each team.\r\n\r\n<strong>Not all teams will have to report 3D locations<\/strong>. We understand that some technologies are not suited for 3D localization (i.e., WiFi\/geo-magnetic fingerprinting, dead reckoning, BLE-based etc.), but they are still excellent candidates for commercial indoor location systems. With this in mind, the organizers will determine shortly after the registration deadline which teams will be classified as 3D localization teams. It is not up to the individual teams to decide if they will report 2D or 3D locations. The organizers will ensure that all the teams in a given category will either report 2D or 3D locations. There will be no categories containing both 2D and 3D localization teams.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Acceptable Technologies\"]\r\n\r\nLiDAR-based systems will not be accepted to the competition this year. LiDAR is reserved for ground truth measurements. Also, the use of laser range finders is allowed only during the setup of each system and not during its evaluation.\r\n\r\nOther than the LiDAR and laser range finder restrictions outlined above, there are no other technology restrictions.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Evaluation and Prizes\"]\r\n\r\nResults are judged based on accuracy, and an award will be given to the top 3 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning teams in each category will be invited to present their approach at the conference, and receive a cash award. The exact accuracy metrics that will be used during evaluation will be announced shortly before the competition takes place.\r\n\r\n<strong>Traditionally, teams were evaluated on their accuracy in estimating locations of individual points. This year, teams will be evaluated on their tracking accuracy as opposed to point accuracy. Each system under test will be taken through a pre-determined path and will output its estimated location at a predetermined rate while walking along the path. The system that will be able to approximate the ground truth path with the highest overall accuracy wins. Organizers will provide more details about the evaluation process and its logistics as we get closer to the competition.<\/strong>\r\n\r\n[\/panel]\r\n\r\n&nbsp;\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]\r\n\r\n&nbsp;\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 two (2) single-spaced 8.5\u2033 x 11\u2033 pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2018 papers.<span class=\"Apple-converted-space\">\u00a0<\/span><strong>Abstracts should include the names and affiliations of all authors<\/strong>. Templates can be found<span class=\"Apple-converted-space\">\u00a0<\/span><a href=\"http:\/\/ipsn.acm.org\/2018\/submission.html?v=1\">here<\/a>. Abstracts should be sent over email to: dlymper@microsoft.com <strong>on or before February 11th 2018 <\/strong>with the following subject line: 2018 Microsoft Indoor Localization Competition Submission.\r\n\r\n[\/panel]\r\n\r\n[\/accordion]\r\n\r\n&nbsp;"},{"id":2,"name":"Competition Logistics","content":"More details about the competition space and the evaluation process can be found <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/competitionlogistics_2018.pptx\">HERE<\/a>\r\n\r\nPlease read this information carefully! This year, each team is required to provide an output text file with the recorded locations at the end of the evaluation. More details are in the document linked above.\r\n\r\nA tentative schedule for the competition is provided below:\r\n<table style=\"height: 49px;border-collapse: collapse;border-spacing: inherit\" width=\"830\">\r\n<tbody>\r\n<tr style=\"background-color: #0078d7\">\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Day \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Time \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Description<\/strong><\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 10th<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 - 17:00<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\">Setup Day. All teams meet at the evaluation area at 8:30am to go over the rules.<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 11th<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">8:30 - 17:00<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\">Evaluation Day. All teams are evaluated during their pre-assigned time slots<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #005500\">April 12th<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #b08500\">11:30 - 12:30<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\">Official Results Anouncement<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":3,"name":"Competing Teams","content":"<strong>34<\/strong> indoor location systems from <strong>31<\/strong> teams have registered to participate to the competition. Given the type and number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (12 submissions) and <em>Infrastructure-Based <\/em>(22 submissions) systems. A list of all the teams in each of the categories is provided below.\r\n\r\n<strong>All teams that have been assigned an evaluation time slot have at least one member officially registered. Teams that have not been assigned an evaluation time slot will not be allowed to compete during the competition. The data in the table below reflects registrations as of March 20th 2018.<\/strong>\r\n<h2 style=\"text-align: center\">Infrastructure-Free (2D Localization)<\/h2>\r\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\r\n<tbody>\r\n<tr style=\"background-color: #0078d7\">\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Evaluation Time Slot<\/strong><\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2_2018.pdf\"><span style=\"color: #ff0000\">Qu et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - Tongji University\/Naviguy<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Inertial Sensing Approach for Indoor Localization<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">8:30-8:45<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Xinyu_Qu_2018.pdf\">Qu et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Tongji University\/Naviguy<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Localization Fusion System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">8:45-9:00\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Boaz_Moshe_2018.pdf\"><span style=\"color: #ff0000\">Ben-Moshe et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Israel - Ariel University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">GoIn - An Accurate InDoor Navigation Framework for Mobile Devices <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10-10:15<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yael_Landau_2018.pdf\">Ben-Moshe et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Israel - Ariel University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Steps - An Accurate Relative Positioning Method for First-Responders<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:15-10:30<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Miguel_Martinez_2018.pdf\"><span style=\"color: #ff0000\">Martinez et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Spain - Universidad de Castilla-La Mancha<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">An Indoor Localization System Based on Particle Filters and Real-Time Range-Free Estimation Method<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Liqiang_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Tianjin University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementation of Real-Time Pedestrian Navigation System using Foot-Mounted IMU<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Devesh_Joshi_2018.pdf\"><span style=\"color: #ff0000\">Joshi et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India - IIT Delhi<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">PDR-RSS Based Indoor Localization<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Maurizio_Rea_2018.pdf\">Rea et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Spain - IMDEA Networks Institute <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">TWINS: Time-of-Flight Based Wireless Indoor Navigation System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9-9:15\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Chaojun_Xu_2018.pdf\"><span style=\"color: #ff0000\">Xu et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - Nokia\/Tongji university\/Naviguy\/Ruijie Networks<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization Based on CSI and Mobile Sensors<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:15-9:30\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/FirewayTech_2018.pdf\">Fineway et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Beijing Fineway Technology Ltd. Co. <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">An Inertial Sensor-based Indoor Location Tracking Solution<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">9:30-9:45\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Muhammad_Ali_2018.pdf\"><span style=\"color: #ff0000\">Ali et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">South Korea - Yeungnam University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Infrastructure-free Indoor Positioning System Using Smart Phone Sensors<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">9:45-10<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hailu_Jia_2018.pdf\">Jia et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Center for Indoor Positioning Studies <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Geomagnetism and WiFi Fingerprint Fusion Based Indoor Location<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A <\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<h2 style=\"text-align: center\">Infrastructure-Based (3D Localization)<\/h2>\r\n<table style=\"border-collapse: collapse;border-spacing: inherit\">\r\n<tbody>\r\n<tr style=\"background-color: #0078d7\">\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Authors <\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Affiliation<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Title<\/strong><\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ffffff\"><strong>Eval. Time Slot<\/strong><\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Bo_Lin_2018.pdf\"><span style=\"color: #ff0000\">Lin et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - China Academy of Electronics and Information Tech.\/Beijing Institute of Technology<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">VL-Loc: An Indoor Localization System Based on Mobile Phone and Illumination Facility<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:30-15:45<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hongda_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - ElegenTech Co.\/Nanjing University of Aeronautics and Astronautics<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Low Cost 3D Positioning Solution of High Accuracy and High Refresh Rate for Robot Control<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:30-10:45\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/SKM_2018.pdf\"><span style=\"color: #ff0000\">Kukovyakina et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Russia - National Research University MPEI<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">SKM: low-cost precise positioning based on TDoA UWB and MEMS IMU <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:45-11<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Meichuan_Huang_2018.pdf\"><span style=\"color: #ff0000\">Huang et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - Zhejiang University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">AALOC: An Accurate Acoustic Indoor Localization System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11-11:15<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Milin_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. - Zhejiang University\/University of West London<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AIDLOC: An Accurate Acoustic 3D Indoor Localization System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:15-11:30<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_MAIDLOC_2018.pdf\"><span style=\"color: #ff0000\">Zhang et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China\/U.K. - Zhejiang University\/University of West London<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">MAIDLOC: A Modified Accurate Acoustic Indoor Localization System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:30-11:45<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Yannic_Schroder_2018.pdf\">Schroder et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany - TU Braunschweig<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">InPhase: No-Cost Phase-Based Ranging and Localization<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:45-12\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Andrew_Ansell_2018.pdf\"><span style=\"color: #ff0000\">Ansell et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">U.K. - RaceLogic<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning System for Highly Dynamic Applications <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12-12:15\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Lei_Zhang_2018.pdf\">Zhang et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China\/U.K. - Zhejiang University\/ University of West London<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RA2LOC: A Robust Accurate Acoustic Indoor Localization System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">12:15-12:30<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Janis_Tiemann_2018.pdf\"><span style=\"color: #ff0000\">Tiemann et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Germany - TU Dortmund University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ATLAS: TDOA-based UWB Localization <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14-14:15\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Gunes et al..<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany - Quantitec GmbH<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">IntraNav - Low-cost Indoor Localization System and IoT Platform<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> N\/A <\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Feng_Gao_2018.pdf\"><span style=\"color: #ff0000\">Gao et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - SND Smart Ltd. Com.\/ATE Electronics Ltd. Com.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">NavInThings - An Indoor Localization and Navigation System based on UWB<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:15-14:30<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Collier_2018.pdf\">Collier et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> France - INTELLIDOM <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> UWB-Based Indoor Localization System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:45-16:00\u00a0<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Santu_Sardar_2018.pdf\"><span style=\"color: #ff0000\">Sardar et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India\/South Africa - IIT Hyderabad\/University of Cape Town<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System Based on Commensal Radar Principle <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> N\/A <\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Hui_Chen_2018.pdf\">Chen et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Saudi Arabia - King Abdullah University of Science and Technology<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">KAUST Acoustic Positioning System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Subham_De_2018.pdf\">De et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA - UIUC<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Finding by Counting - A Packet Count Based Indoor Localization Technique Using BLE Sensors<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Jun_Li_2018.pdf\">Li et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Canada - McMaster University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">3D Indoor Localization with Commercial-off-the-shelf UWB Radios<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:30-14:45<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Strachen et al..<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA - University of Wisconsin-Madison<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Accurate Indoor Navigation with Spinning Magnets<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Saad_Iqbal_2018.pdf\">Iqbal et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Pakistan - National University of Sciences and Technology<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">RSSI Based Indoor Localization Using RF Beacons<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">N\/A<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Patrick_Lazik_2018.pdf\">Lazik et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> USA - CMU<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">ALPS: The Acoustic Location Processing System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:15-15:30<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/John_Miller_2018.pdf\">Miller et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA - CMU<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Realty and Reality: Where Location Matters<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:45-15<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/Johannes_2018_Competition.pdf\">Schmitz et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\"> Germany - RWTH Aachen University\/Roboter Club Aachen e.V.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultrasound-based Cooperative Indoor Localization for Robotic Applications<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15-15:15<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":4,"name":"Previous Competitions","content":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2017\/\">2017 Microsoft Indoor Localization Competition<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2016\/\">2016 Microsoft Indoor Localization Competition<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2015\/\">2015 Microsoft Indoor Localization Competition<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2014\/\">2014 Microsoft Indoor Localization Competition<\/a>"}],"msr_startdate":"2018-04-10","msr_enddate":"2018-04-11","msr_event_time":"","msr_location":"Porto, Portugal","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"April 10, 2018","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"812\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night.jpg\" class=\"img-object-cover\" alt=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night.jpg 1600w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night-300x200.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night-768x511.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/porto-night-1024x681.jpg 1024w\" sizes=\"auto, (max-width: 812px) 100vw, 812px\" \/>","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\/446250","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":8,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/446250\/revisions"}],"predecessor-version":[{"id":1147131,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/446250\/revisions\/1147131"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/449811"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=446250"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=446250"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=446250"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=446250"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=446250"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=446250"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=446250"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=446250"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=446250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}