{"id":321092,"date":"2016-11-14T11:51:52","date_gmt":"2016-11-14T19:51:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=321092"},"modified":"2025-08-06T11:58:52","modified_gmt":"2025-08-06T18:58:52","slug":"microsoft-indoor-localization-competition-ipsn-2017","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-indoor-localization-competition-ipsn-2017\/","title":{"rendered":"2017 Microsoft Indoor Localization Competition @ IPSN 2017"},"content":{"rendered":"\n\n<p><strong>Registration\u00a0Deadline:<\/strong> All teams must submit a <strong>2-page abstract by January 27th 2017<\/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=\"alignnone size-medium wp-image-204057\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo-300x72.jpg\" alt=\"microsoft_research_logo.jpg\" width=\"300\" height=\"72\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo-300x72.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo.jpg 695w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-321239\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-300x71.png\" alt=\"bosch-logo\" width=\"300\" height=\"71\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-300x71.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-768x182.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-1024x242.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/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>Maurizio Bocca (Bosch)<\/li>\n<li>Vitor Sequeira (European Commission &#8211; Joint Research Center)<\/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>Xue Yang (Intel)<\/li>\n<li>Ying Zhang (Google)<\/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<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-379850\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-1024x562.png\" alt=\"\" width=\"1024\" height=\"562\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-1024x562.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-300x165.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-768x421.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2.png 1734w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-379157\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-1024x558.png\" alt=\"\" width=\"1024\" height=\"558\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-1024x558.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-300x164.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-768x419.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017.png 1621w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Important notes on the official results:<\/p>\n<ol>\n<li>The JRC (European Commission Joint Research Center)\u00a0team was\u00a0NOT competing. This team helped with the organization of the event. In particular, they used 3D laser scanners to map the evaluation area and\u00a0measure ground truth coordinates for all evaluation points. The accuracy reported for this team is based on their mobile lidar-based system (different than the ground-truth measuring system)\u00a0that won the 2015 Microsoft Indoor Localization Competition. Even though not officially competing, we provide this system&#8217;s results for awareness.<\/li>\n<li>The team from Kiwii logged the estimated\u00a0locations for two of the points while swapping X and Y coordinates. This\u00a0resulted into a higher average localization error.\u00a0When this mistake is taken into account, the average localization error for this team is within 2m.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017-Microsoft-Indoor-Localization-Competition.pptx\">2017 Microsoft Indoor Localization Competition<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Slides used to announce the results during the Indoor Localization Session)<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017CompetitionOfficialResults.xlsx\">2017CompetitionOfficialResults<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0(Raw data including the ground truth coordinates and estimated locations for every team)<\/p>\n<p>The JRC team that helped with ground truth measurements has decided to make the collected point cloud available to the public. You can find the data <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGg_c9oFUK48uQDWQY-A\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/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-2362\"}' 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-2362\"\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-2361\"\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-2361\"\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-2362\"\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-2364\"}' 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-2364\"\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-2363\"\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-2363\"\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-2364\"\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-2366\"}' 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-2366\"\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-2365\"\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-2365\"\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-2366\"\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><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-2368\"}' 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-2368\"\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-2367\"\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-2367\"\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-2368\"\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-2370\"}' 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-2370\"\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-2369\"\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-2369\"\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-2370\"\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 2017 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\" href=\"http:\/\/ipsn.acm.org\/2017\/submission.html\" target=\"_blank\" rel=\"noopener noreferrer\">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 January 27th 2017 <\/strong>with the following subject line: 2017 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>The competition is a 2-day event. During the first day, teams setup and calibrate their systems. During the second day, each team is evaluated at a pre-assigned time slot. Please refer to the Competing Teams tab for more details on the teams and their assigned time slots.<\/p>\n<p>The schedule for the competition\u00a0is as follows:<\/p>\n<p><strong>Tuesday April 18th 2017<\/strong><\/p>\n<ul>\n<li>8:30am &#8211; 9am: Introduction and overview of the competition rules<\/li>\n<li>9am &#8211; 4pm: System setup time<\/li>\n<\/ul>\n<p><strong>Wednesday April 19th 2017<\/strong><\/p>\n<ul>\n<li>9am-5pm: Evaluation of individual teams at pre-assigned time slots<\/li>\n<\/ul>\n<p><strong>Thursday April 20th 2017<\/strong><\/p>\n<ul>\n<li>14:20 &#8211; 15:10 :\u00a0Announcement of the official competition results<\/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><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<p><strong>29<\/strong> indoor location systems from <strong>27<\/strong> teams have registered to participate to the competition. Given the\u00a0type\u00a0and\u00a0number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (14 submissions)\u00a0and <em>Infrastructure-Based <\/em>(15 submissions)\u00a0systems.\u00a0A 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 will be allowed to participate. Teams that have not been assigned an evaluation time slot have NOT officially registered for the competition as of 03\/28\/2017 and will not be allowed to participate.\u00a0<\/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\/2016\/11\/GoIn_BoazBenMoshe.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: An Accurate Indoor Navigation Framework for Mobile Devices <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:00<\/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\/2016\/11\/Indoor Localization using FM signals TDOA triangulation_HenryLiao.doc\">Liao et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan &#8211; Aquaways CO. Ltd.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Indoor Localization using Broadcasting FM Signals TDOA triangulation<\/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\/2016\/11\/SadhuVidyasagar.pdf\"><span style=\"color: #ff0000\">Sadhu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA &#8211; Rutgers University, Department of Homeland Security<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">CollabLoc: Infrastructure-free Privacy-preserving Localization via Collaborative Information Fusion <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:00<\/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\/2016\/11\/Lourenco_1.pdf\">Castro et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Portugal &#8211; Fraunhofer Portugal Research Center<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Location<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">09:20<\/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\/2016\/11\/Lourenco_2.pdf\"><span style=\"color: #ff0000\">Castro et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Portugal &#8211; Fraunhofer Portugal Research Center<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Precise Indoor Location Through Multiple Devices<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:40<\/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\/2016\/11\/Ju_SoyoungPark.pdf\">Ju et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Korea &#8211; Seoul National University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Pedestrian Dead Reckoning System Considering Actual Condition of the Foot-mounted IMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:00<\/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\/2016\/11\/MatteoFaggin.pdf\"><span style=\"color: #ff0000\">Cutri et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Italy &#8211; GiPStech s.r.l<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">A Hybrid Geomagnetic Field Indoor Localization Technology<\/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\/2016\/11\/LiQiang_JinkunInnovation.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Jinkun Innovation Technology Co., Ltd <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Accurate Indoor Localization and Navigation 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Fingerprint location method based on WIFI and geomagnetism fusion_YangNing.pdf\"><span style=\"color: #ff0000\">Jia et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Baidu<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Fingerprint Location Method Based on WiFi and Geomagnetism Fusion<\/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\/2016\/11\/deshunzheng.pdf\">Zheng et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Huawei <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Dolphin Indoor Localization System based on Hidden Markov Model<\/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\/2016\/11\/McMaster_ZhengRong.pdf\"><span style=\"color: #ff0000\">Li et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Robot-assisted Fingerprint-based Indoor Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:20<\/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\/2016\/11\/Abstracts-Implementing-an-iBeacon-Indoor-Positioning-System-using-Ensemble-Learning-Algorithm.pdf\">Su et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan &#8211; National Taiwan University of Science and Technology <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementing an iBeacon Indoor Positioning System using Ensemble Learning Algorithm<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:40 <\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Liddel et al<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Iceland &#8211; Locatify<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Automatic Museum Guide by Locatify <\/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\/2016\/11\/Naoki_Honma.pdf\">Kikuchi et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Japan &#8211; Iwate University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">DOD-based Indoor Localization using BLE Beacons<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:40<\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Wu et al<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Glodon Software Co., Ltd<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning using WiFi Fingerprinting and Inertial Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:20 <\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: center\">Infrastructure-Based (3D Localization)<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse\">\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\/2016\/11\/WLZZ_YuTingWang.pdf\"><span style=\"color: #ff0000\">Wang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System with Asynchronous Acoustic Beacon<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:40<\/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\/2016\/11\/Lin.pdf\">Lin et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, High-Accuracy Indoor Positioning<\/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\/2016\/11\/KAUST APS_Saadeldin.pdf\"><span style=\"color: #ff0000\">Chen et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Saudi Arabia\/Ireland &#8211; King Abdullah University of Science and Tech., University College Dublin<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">KAUST Acoustic Positioning System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12:00<\/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\/2016\/11\/ARINTech_Acton.pdf\">Acton et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; ARIN Technologies<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Scalable, Low-cost Indoor Localization System using TDoA and UWB<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">13:40<\/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\/2016\/11\/Beuchat.pdf\"><span style=\"color: #ff0000\">Beuchat et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland\/UK &#8211; ETH, Embotech, Hexagon Mining, Aerospace Systems<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">UWB-based Indoor Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:00<\/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\/2016\/11\/Fraenzel.pdf\">Franzel et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; Fraunhofer Institute of Optronics, Schmalkalden University of Applied Science<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Wireless Ad Hoc Localization 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/KiwiiPowerTechnology_LongCheng.pdf\"><span style=\"color: #ff0000\">Cheng et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA &#8211; Kiwii Power Technology Corporation<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Real Time Indoor Locating System based on UWB and Machine Learning <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:20 <\/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\/2016\/11\/M2Robots_PeiqingXia.pdf\">Xia et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; M2Robots Inc.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, User-friendly, Indoor Localization Device<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:40<\/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\/2016\/11\/Mridula.pdf\"><span style=\"color: #ff0000\">Singh et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland &#8211; ETH<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">IR-UWB based Indoor Localization System <\/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\/2016\/11\/Quantitec.pdf\">Gunes et al.<\/a>.<\/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\/2016\/11\/TrakRay_Gorthi.pdf\"><span style=\"color: #ff0000\">Hemamali et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India &#8211; Trakray Pvt. Ltd.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Low Power UWB 3D Positioning System <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:00<\/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\/2016\/11\/UWBLocatify_Gunnlaugsdottir.pdf\">Bjornsson et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Iceland &#8211; Locatify <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Locatify UWB Solution<\/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\/2016\/11\/Kuncen_DennisYuan.pdf\"><span style=\"color: #ff0000\">Zhu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Singapore\/China &#8211; Kuncen Technology PTE. Ltd., University of Electronics Science and Technology of China<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultra Precise Location SYstem based on UWB Sparse Pulses <\/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\/2016\/11\/Astronav_Kitchell.pdf\">Snyder et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; Astrobotic<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AstroNav: Robust, High Rate SLAM for Planetary Exploration<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:20<\/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\/2016\/11\/Kaarta_RealEarth.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; Kaarta<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Compact, Real-time Localization without Reliance on Infrastructure<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:40<\/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","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":322250,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2017-04-18","msr_enddate":"2017-04-19","msr_location":"Pittsburgh, PA, USA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":true,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-321092","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"2017 Microsoft Indoor Localization Competition @ IPSN 2017\",\"backgroundColor\":\"grey\",\"image\":{\"id\":322250,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper.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 January 27th 2017<\/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=\"alignnone size-medium wp-image-204057\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo-300x72.jpg\" alt=\"microsoft_research_logo.jpg\" width=\"300\" height=\"72\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo-300x72.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/en-us-events-msindoorloccompetition2016-microsoft_research_logo.jpg 695w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-321239\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-300x71.png\" alt=\"bosch-logo\" width=\"300\" height=\"71\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-300x71.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-768x182.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Bosch-logo-1024x242.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/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>Maurizio Bocca (Bosch)<\/li>\n<li>Vitor Sequeira (European Commission &#8211; Joint Research Center)<\/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>Xue Yang (Intel)<\/li>\n<li>Ying Zhang (Google)<\/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<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-379850\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-1024x562.png\" alt=\"\" width=\"1024\" height=\"562\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-1024x562.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-300x165.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-768x421.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2.png 1734w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-379157\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-1024x558.png\" alt=\"\" width=\"1024\" height=\"558\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-1024x558.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-300x164.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-768x419.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017.png 1621w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Important notes on the official results:<\/p>\n<ol>\n<li>The JRC (European Commission Joint Research Center)\u00a0team was\u00a0NOT competing. This team helped with the organization of the event. In particular, they used 3D laser scanners to map the evaluation area and\u00a0measure ground truth coordinates for all evaluation points. The accuracy reported for this team is based on their mobile lidar-based system (different than the ground-truth measuring system)\u00a0that won the 2015 Microsoft Indoor Localization Competition. Even though not officially competing, we provide this system&#8217;s results for awareness.<\/li>\n<li>The team from Kiwii logged the estimated\u00a0locations for two of the points while swapping X and Y coordinates. This\u00a0resulted into a higher average localization error.\u00a0When this mistake is taken into account, the average localization error for this team is within 2m.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017-Microsoft-Indoor-Localization-Competition.pptx\">2017 Microsoft Indoor Localization Competition<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Slides used to announce the results during the Indoor Localization Session)<\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017CompetitionOfficialResults.xlsx\">2017CompetitionOfficialResults<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0(Raw data including the ground truth coordinates and estimated locations for every team)<\/p>\n<p>The JRC team that helped with ground truth measurements has decided to make the collected point cloud available to the public. You can find the data <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" target=\"_blank\" href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGg_c9oFUK48uQDWQY-A\">here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/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-2362\"}' 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-2362\"\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-2361\"\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-2361\"\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-2362\"\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-2364\"}' 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-2364\"\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-2363\"\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-2363\"\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-2364\"\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-2366\"}' 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-2366\"\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-2365\"\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-2365\"\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-2366\"\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><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-2368\"}' 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-2368\"\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-2367\"\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-2367\"\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-2368\"\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-2370\"}' 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-2370\"\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-2369\"\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-2369\"\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-2370\"\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 2017 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\" href=\"http:\/\/ipsn.acm.org\/2017\/submission.html\" target=\"_blank\" rel=\"noopener noreferrer\">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 January 27th 2017 <\/strong>with the following subject line: 2017 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>The competition is a 2-day event. During the first day, teams setup and calibrate their systems. During the second day, each team is evaluated at a pre-assigned time slot. Please refer to the Competing Teams tab for more details on the teams and their assigned time slots.<\/p>\n<p>The schedule for the competition\u00a0is as follows:<\/p>\n<p><strong>Tuesday April 18th 2017<\/strong><\/p>\n<ul>\n<li>8:30am &#8211; 9am: Introduction and overview of the competition rules<\/li>\n<li>9am &#8211; 4pm: System setup time<\/li>\n<\/ul>\n<p><strong>Wednesday April 19th 2017<\/strong><\/p>\n<ul>\n<li>9am-5pm: Evaluation of individual teams at pre-assigned time slots<\/li>\n<\/ul>\n<p><strong>Thursday April 20th 2017<\/strong><\/p>\n<ul>\n<li>14:20 &#8211; 15:10 :\u00a0Announcement of the official competition results<\/li>\n<\/ul>\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-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-tab {\"title\":\"Competing Teams\"} --><!-- wp:freeform --><p><strong>29<\/strong> indoor location systems from <strong>27<\/strong> teams have registered to participate to the competition. Given the\u00a0type\u00a0and\u00a0number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (14 submissions)\u00a0and <em>Infrastructure-Based <\/em>(15 submissions)\u00a0systems.\u00a0A 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 will be allowed to participate. Teams that have not been assigned an evaluation time slot have NOT officially registered for the competition as of 03\/28\/2017 and will not be allowed to participate.\u00a0<\/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\/2016\/11\/GoIn_BoazBenMoshe.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: An Accurate Indoor Navigation Framework for Mobile Devices <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:00<\/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\/2016\/11\/Indoor Localization using FM signals TDOA triangulation_HenryLiao.doc\">Liao et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan &#8211; Aquaways CO. Ltd.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Indoor Localization using Broadcasting FM Signals TDOA triangulation<\/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\/2016\/11\/SadhuVidyasagar.pdf\"><span style=\"color: #ff0000\">Sadhu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA &#8211; Rutgers University, Department of Homeland Security<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">CollabLoc: Infrastructure-free Privacy-preserving Localization via Collaborative Information Fusion <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:00<\/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\/2016\/11\/Lourenco_1.pdf\">Castro et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Portugal &#8211; Fraunhofer Portugal Research Center<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Location<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">09:20<\/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\/2016\/11\/Lourenco_2.pdf\"><span style=\"color: #ff0000\">Castro et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Portugal &#8211; Fraunhofer Portugal Research Center<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Precise Indoor Location Through Multiple Devices<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:40<\/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\/2016\/11\/Ju_SoyoungPark.pdf\">Ju et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Korea &#8211; Seoul National University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Pedestrian Dead Reckoning System Considering Actual Condition of the Foot-mounted IMU<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:00<\/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\/2016\/11\/MatteoFaggin.pdf\"><span style=\"color: #ff0000\">Cutri et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Italy &#8211; GiPStech s.r.l<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">A Hybrid Geomagnetic Field Indoor Localization Technology<\/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\/2016\/11\/LiQiang_JinkunInnovation.pdf\">Li et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Jinkun Innovation Technology Co., Ltd <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Accurate Indoor Localization and Navigation 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Fingerprint location method based on WIFI and geomagnetism fusion_YangNing.pdf\"><span style=\"color: #ff0000\">Jia et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Baidu<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Fingerprint Location Method Based on WiFi and Geomagnetism Fusion<\/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\/2016\/11\/deshunzheng.pdf\">Zheng et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China &#8211; Huawei <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Dolphin Indoor Localization System based on Hidden Markov Model<\/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\/2016\/11\/McMaster_ZhengRong.pdf\"><span style=\"color: #ff0000\">Li et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Robot-assisted Fingerprint-based Indoor Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:20<\/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\/2016\/11\/Abstracts-Implementing-an-iBeacon-Indoor-Positioning-System-using-Ensemble-Learning-Algorithm.pdf\">Su et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan &#8211; National Taiwan University of Science and Technology <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementing an iBeacon Indoor Positioning System using Ensemble Learning Algorithm<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:40 <\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Liddel et al<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Iceland &#8211; Locatify<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Automatic Museum Guide by Locatify <\/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\/2016\/11\/Naoki_Honma.pdf\">Kikuchi et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Japan &#8211; Iwate University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">DOD-based Indoor Localization using BLE Beacons<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:40<\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Wu et al<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China &#8211; Glodon Software Co., Ltd<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning using WiFi Fingerprinting and Inertial Sensors<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:20 <\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: center\">Infrastructure-Based (3D Localization)<\/h2>\n<table style=\"border-spacing: inherit;border-collapse: collapse\">\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\/2016\/11\/WLZZ_YuTingWang.pdf\"><span style=\"color: #ff0000\">Wang et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada &#8211; McMaster University<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System with Asynchronous Acoustic Beacon<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:40<\/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\/2016\/11\/Lin.pdf\">Lin et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, High-Accuracy Indoor Positioning<\/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\/2016\/11\/KAUST APS_Saadeldin.pdf\"><span style=\"color: #ff0000\">Chen et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Saudi Arabia\/Ireland &#8211; King Abdullah University of Science and Tech., University College Dublin<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">KAUST Acoustic Positioning System<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12:00<\/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\/2016\/11\/ARINTech_Acton.pdf\">Acton et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; ARIN Technologies<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Scalable, Low-cost Indoor Localization System using TDoA and UWB<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">13:40<\/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\/2016\/11\/Beuchat.pdf\"><span style=\"color: #ff0000\">Beuchat et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland\/UK &#8211; ETH, Embotech, Hexagon Mining, Aerospace Systems<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">UWB-based Indoor Localization <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:00<\/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\/2016\/11\/Fraenzel.pdf\">Franzel et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany &#8211; Fraunhofer Institute of Optronics, Schmalkalden University of Applied Science<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Wireless Ad Hoc Localization 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/KiwiiPowerTechnology_LongCheng.pdf\"><span style=\"color: #ff0000\">Cheng et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA &#8211; Kiwii Power Technology Corporation<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Real Time Indoor Locating System based on UWB and Machine Learning <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:20 <\/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\/2016\/11\/M2Robots_PeiqingXia.pdf\">Xia et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; M2Robots Inc.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, User-friendly, Indoor Localization Device<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:40<\/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\/2016\/11\/Mridula.pdf\"><span style=\"color: #ff0000\">Singh et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland &#8211; ETH<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">IR-UWB based Indoor Localization System <\/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\/2016\/11\/Quantitec.pdf\">Gunes et al.<\/a>.<\/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\/2016\/11\/TrakRay_Gorthi.pdf\"><span style=\"color: #ff0000\">Hemamali et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India &#8211; Trakray Pvt. Ltd.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Low Power UWB 3D Positioning System <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:00<\/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\/2016\/11\/UWBLocatify_Gunnlaugsdottir.pdf\">Bjornsson et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Iceland &#8211; Locatify <\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Locatify UWB Solution<\/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\/2016\/11\/Kuncen_DennisYuan.pdf\"><span style=\"color: #ff0000\">Zhu et al.<\/span><\/a><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Singapore\/China &#8211; Kuncen Technology PTE. Ltd., University of Electronics Science and Technology of China<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultra Precise Location SYstem based on UWB Sparse Pulses <\/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\/2016\/11\/Astronav_Kitchell.pdf\">Snyder et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; Astrobotic<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AstroNav: Robust, High Rate SLAM for Planetary Exploration<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:20<\/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\/2016\/11\/Kaarta_RealEarth.pdf\">Zhang et al.<\/a>.<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA &#8211; Kaarta<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Compact, Real-time Localization without Reliance on Infrastructure<\/span><\/td>\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:40<\/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-tabs -->","tab-content":[{"id":0,"name":"Official Results","content":"<img class=\"alignnone size-large wp-image-379850\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/OfficialResults2017-2-1024x562.png\" alt=\"\" width=\"1024\" height=\"562\" \/>\r\n\r\n<img class=\"alignnone size-large wp-image-379157\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Winners2017-1024x558.png\" alt=\"\" width=\"1024\" height=\"558\" \/>\r\n\r\nImportant notes on the official results:\r\n<ol>\r\n \t<li>The JRC (European Commission Joint Research Center)\u00a0team was\u00a0NOT competing. This team helped with the organization of the event. In particular, they used 3D laser scanners to map the evaluation area and\u00a0measure ground truth coordinates for all evaluation points. The accuracy reported for this team is based on their mobile lidar-based system (different than the ground-truth measuring system)\u00a0that won the 2015 Microsoft Indoor Localization Competition. Even though not officially competing, we provide this system's results for awareness.<\/li>\r\n \t<li>The team from Kiwii logged the estimated\u00a0locations for two of the points while swapping X and Y coordinates. This\u00a0resulted into a higher average localization error.\u00a0When this mistake is taken into account, the average localization error for this team is within 2m.<\/li>\r\n<\/ol>\r\n&nbsp;\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017-Microsoft-Indoor-Localization-Competition.pptx\">2017 Microsoft Indoor Localization Competition<\/a> (Slides used to announce the results during the Indoor Localization Session)\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/2017CompetitionOfficialResults.xlsx\">2017CompetitionOfficialResults<\/a>\u00a0(Raw data including the ground truth coordinates and estimated locations for every team)\r\n\r\nThe JRC team that helped with ground truth measurements has decided to make the collected point cloud available to the public. You can find the data <a href=\"https:\/\/1drv.ms\/u\/s!AtQHY7AzxjvGg_c9oFUK48uQDWQY-A\">here<\/a>.\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=\"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[\/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 2017 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\/2017\/submission.html\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>. Abstracts should be sent over email to: dlymper@microsoft.com <strong>on or before January 27th 2017 <\/strong>with the following subject line: 2017 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":"The competition is a 2-day event. During the first day, teams setup and calibrate their systems. During the second day, each team is evaluated at a pre-assigned time slot. Please refer to the Competing Teams tab for more details on the teams and their assigned time slots.\r\n\r\nThe schedule for the competition\u00a0is as follows:\r\n\r\n<strong>Tuesday April 18th 2017<\/strong>\r\n<ul>\r\n \t<li>8:30am - 9am: Introduction and overview of the competition rules<\/li>\r\n \t<li>9am - 4pm: System setup time<\/li>\r\n<\/ul>\r\n<strong>Wednesday April 19th 2017<\/strong>\r\n<ul>\r\n \t<li>9am-5pm: Evaluation of individual teams at pre-assigned time slots<\/li>\r\n<\/ul>\r\n<strong>Thursday April 20th 2017<\/strong>\r\n<ul>\r\n \t<li>14:20 - 15:10 :\u00a0Announcement of the official competition results<\/li>\r\n<\/ul>"},{"id":3,"name":"Previous Competitions","content":"<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>"},{"id":4,"name":"Competing Teams","content":"<strong>29<\/strong> indoor location systems from <strong>27<\/strong> teams have registered to participate to the competition. Given the\u00a0type\u00a0and\u00a0number of submissions we received, we had to classify all teams in two categories similarly to the previous years: <em>Infrastructure-Free<\/em> (14 submissions)\u00a0and <em>Infrastructure-Based <\/em>(15 submissions)\u00a0systems.\u00a0A 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 will be allowed to participate. Teams that have not been assigned an evaluation time slot have NOT officially registered for the competition as of 03\/28\/2017 and will not be allowed to participate.\u00a0<\/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\/2016\/11\/GoIn_BoazBenMoshe.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\">11:00<\/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\/2016\/11\/Indoor Localization using FM signals TDOA triangulation_HenryLiao.doc\">Liao et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan - Aquaways CO. Ltd.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Indoor Localization using Broadcasting FM Signals TDOA triangulation<\/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\/2016\/11\/SadhuVidyasagar.pdf\"><span style=\"color: #ff0000\">Sadhu et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA - Rutgers University, Department of Homeland Security<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">CollabLoc: Infrastructure-free Privacy-preserving Localization via Collaborative Information Fusion <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:00<\/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\/2016\/11\/Lourenco_1.pdf\">Castro et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Portugal - Fraunhofer Portugal Research Center<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Precise Indoor Location<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">09:20<\/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\/2016\/11\/Lourenco_2.pdf\"><span style=\"color: #ff0000\">Castro et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Portugal - Fraunhofer Portugal Research Center<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Precise Indoor Location Through Multiple Devices<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">09:40<\/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\/2016\/11\/Ju_SoyoungPark.pdf\">Ju et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Korea - Seoul National University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Pedestrian Dead Reckoning System Considering Actual Condition of the Foot-mounted IMU<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:00<\/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\/2016\/11\/MatteoFaggin.pdf\"><span style=\"color: #ff0000\">Cutri et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Italy - GiPStech s.r.l<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">A Hybrid Geomagnetic Field Indoor Localization Technology<\/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\/2016\/11\/LiQiang_JinkunInnovation.pdf\">Li et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Jinkun Innovation Technology Co., Ltd <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Accurate Indoor Localization and Navigation 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Fingerprint location method based on WIFI and geomagnetism fusion_YangNing.pdf\"><span style=\"color: #ff0000\">Jia et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - Baidu<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Fingerprint Location Method Based on WiFi and Geomagnetism Fusion<\/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\/2016\/11\/deshunzheng.pdf\">Zheng et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China - Huawei <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Dolphin Indoor Localization System based on Hidden Markov Model<\/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\/2016\/11\/McMaster_ZhengRong.pdf\"><span style=\"color: #ff0000\">Li et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada - McMaster University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Robot-assisted Fingerprint-based Indoor Localization <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">10:20<\/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\/2016\/11\/Abstracts-Implementing-an-iBeacon-Indoor-Positioning-System-using-Ensemble-Learning-Algorithm.pdf\">Su et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Taiwan - National Taiwan University of Science and Technology <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Implementing an iBeacon Indoor Positioning System using Ensemble Learning Algorithm<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">11:40 <\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Liddel et al<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Iceland - Locatify<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Automatic Museum Guide by Locatify <\/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\/2016\/11\/Naoki_Honma.pdf\">Kikuchi et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Japan - Iwate University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">DOD-based Indoor Localization using BLE Beacons<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">10:40<\/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\/2016\/11\/BLELocatify-Gunnlaugsdottir.pdf\"><span style=\"color: #ff0000\">Wu et al<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">China - Glodon Software Co., Ltd<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Positioning using WiFi Fingerprinting and Inertial Sensors<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:20 <\/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-spacing: inherit;border-collapse: collapse\">\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\/2016\/11\/WLZZ_YuTingWang.pdf\"><span style=\"color: #ff0000\">Wang et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Canada - McMaster University<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Indoor Localization System with Asynchronous Acoustic Beacon<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">11:40<\/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\/2016\/11\/Lin.pdf\">Lin et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> China <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, High-Accuracy Indoor Positioning<\/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\/2016\/11\/KAUST APS_Saadeldin.pdf\"><span style=\"color: #ff0000\">Chen et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Saudi Arabia\/Ireland - King Abdullah University of Science and Tech., University College Dublin<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">KAUST Acoustic Positioning System<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">12:00<\/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\/2016\/11\/ARINTech_Acton.pdf\">Acton et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA - ARIN Technologies<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Scalable, Low-cost Indoor Localization System using TDoA and UWB<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">13:40<\/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\/2016\/11\/Beuchat.pdf\"><span style=\"color: #ff0000\">Beuchat et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland\/UK - ETH, Embotech, Hexagon Mining, Aerospace Systems<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">UWB-based Indoor Localization <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:00<\/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\/2016\/11\/Fraenzel.pdf\">Franzel et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Germany - Fraunhofer Institute of Optronics, Schmalkalden University of Applied Science<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">A Wireless Ad Hoc Localization 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\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/KiwiiPowerTechnology_LongCheng.pdf\"><span style=\"color: #ff0000\">Cheng et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">USA - Kiwii Power Technology Corporation<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Real Time Indoor Locating System based on UWB and Machine Learning <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">14:20 <\/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\/2016\/11\/M2Robots_PeiqingXia.pdf\">Xia et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA - M2Robots Inc.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Low-cost, User-friendly, Indoor Localization Device<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">14:40<\/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\/2016\/11\/Mridula.pdf\"><span style=\"color: #ff0000\">Singh et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Switzerland - ETH<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">IR-UWB based Indoor Localization System <\/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\/2016\/11\/Quantitec.pdf\">Gunes et al.<\/a>.<\/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\/2016\/11\/TrakRay_Gorthi.pdf\"><span style=\"color: #ff0000\">Hemamali et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">India - Trakray Pvt. Ltd.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Low Power UWB 3D Positioning System <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">15:00<\/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\/2016\/11\/UWBLocatify_Gunnlaugsdottir.pdf\">Bjornsson et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> Iceland - Locatify <\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Locatify UWB Solution<\/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\/2016\/11\/Kuncen_DennisYuan.pdf\"><span style=\"color: #ff0000\">Zhu et al.<\/span><\/a><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Singapore\/China - Kuncen Technology PTE. Ltd., University of Electronics Science and Technology of China<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #ff0000\">Ultra Precise Location SYstem based on UWB Sparse Pulses <\/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\/2016\/11\/Astronav_Kitchell.pdf\">Snyder et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA - Astrobotic<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">AstroNav: Robust, High Rate SLAM for Planetary Exploration<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:20<\/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\/2016\/11\/Kaarta_RealEarth.pdf\">Zhang et al.<\/a>.<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\"> USA - Kaarta<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">Compact, Real-time Localization without Reliance on Infrastructure<\/span><\/td>\r\n<td style=\"padding: inherit;border: inherit\"><span style=\"color: #99cc00\">15:40<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"}],"msr_startdate":"2017-04-18","msr_enddate":"2017-04-19","msr_event_time":"","msr_location":"Pittsburgh, PA, USA","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"April 18, 2017","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper.jpg\" class=\"img-object-cover\" alt=\"a bridge over a body of water with a city in the background\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/awesome-pittsburgh-skyline-wallpaper-343x193.jpg 343w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","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\/321092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/321092\/revisions"}],"predecessor-version":[{"id":1147211,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/321092\/revisions\/1147211"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/322250"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=321092"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=321092"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=321092"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=321092"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=321092"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=321092"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=321092"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=321092"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=321092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}