{"id":6195,"date":"2016-05-06T12:56:48","date_gmt":"2016-05-06T10:56:48","guid":{"rendered":"https:\/\/lcm-content.web-email.at\/en\/?p=6195"},"modified":"2017-03-16T10:59:06","modified_gmt":"2017-03-16T08:59:06","slug":"microsoft-indoor-localization-competition-2016-vienna","status":"publish","type":"post","link":"https:\/\/lcm-content.web-email.at\/en\/microsoft-indoor-localization-competition-2016-vienna\/","title":{"rendered":"Microsoft Indoor Localization Competition 2016 | Vienna"},"content":{"rendered":"<div class=\"gdpr-ifbc-wrap\"><p style=\"text-align: justify;\">On April 11th, 2016, the third Microsoft Indoor Localization Competition took place. A team of the Linz Center of Mechatronics GmbH (LCM) participated in the category \u201cinfrastructure-based\u201d (3D position estimation) deploying their sound-based localization system (SBLS). The SBLS has been developed within the EU-project \u201cFEATureFACE\u201d in order to increase the security of workers in underground mines by determining their position around the mining machine (<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0003682X14003168\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0003682X14003168<\/a>).<\/p>\n<p>\u00a0<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/lcm-content.web-email.at\/wp-admin\/admin-ajax.php?action=gdpr_iframe_blocker&amp;src=https:\/\/www.youtube.com\/embed\/CmqC63NcWaQ\" width=\"650\" height=\"500\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-gdpr-iframesrc=\"https:\/\/www.youtube.com\/embed\/CmqC63NcWaQ\"><\/iframe><\/p>\n<p style=\"text-align: justify;\">The SBLS is capable of estimating the positions of miners within a radius of 10m in 2D with an accuracy of about 10-20cm. In the competition, 3D positions (x,y,z) were required and the number of anchor nodes (loudspeakers) was limited to five. \u201cThe evaluation environment of the Hofburg Dachfoyer (465m2) offered a phantastic opportunity to move on from the limited spaces of a training mine and the measurement laboratory, and to extend the capabilities of our system,\u201d says LCM team member Dr. Florian Hammer.<\/p>\n<p style=\"text-align: justify;\">The results are impressive: The SBLS provided an average estimation error of 1.22m and turned out to be the best acoustic system evaluated in the competition. Please, find more details on the results <a href=\"http:\/\/research.microsoft.com\/en-us\/events\/msindoorloccompetition2016\/\">HERE<\/a>.<\/p>\n<p style=\"text-align: justify;\"><em>Picture-credits: LCM | Team @ Microsoft Indoor Localization Competition 2016 (from left to right): Klaus Pendl, Florian Hammer und Markus Pichler.<\/em><\/p>\n<p style=\"text-align: justify;\">\n<\/p><div class=\"shariff shariff-align-flex-start shariff-widget-align-flex-start\"><div class=\"ShariffHeadline\">Share this information<\/div><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fmicrosoft-indoor-localization-competition-2016-vienna%2F\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fmicrosoft-indoor-localization-competition-2016-vienna%2F\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button xing shariff-nocustomcolor\" style=\"background-color:#29888a\"><a href=\"https:\/\/www.xing.com\/spi\/shares\/new?url=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fmicrosoft-indoor-localization-competition-2016-vienna%2F\" title=\"Share on XING\" aria-label=\"Share on XING\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#126567; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 25 32\"><path fill=\"#126567\" d=\"M10.7 11.9q-0.2 0.3-4.6 8.2-0.5 0.8-1.2 0.8h-4.3q-0.4 0-0.5-0.3t0-0.6l4.5-8q0 0 0 0l-2.9-5q-0.2-0.4 0-0.7 0.2-0.3 0.5-0.3h4.3q0.7 0 1.2 0.8zM25.1 0.4q0.2 0.3 0 0.7l-9.4 16.7 6 11q0.2 0.4 0 0.6-0.2 0.3-0.6 0.3h-4.3q-0.7 0-1.2-0.8l-6-11.1q0.3-0.6 9.5-16.8 0.4-0.8 1.2-0.8h4.3q0.4 0 0.5 0.3z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fmicrosoft-indoor-localization-competition-2016-vienna%2F&amp;subject=Microsoft%20Indoor%20Localization%20Competition%202016%20%7C%20Vienna\" title=\"Send by email\" aria-label=\"Send by email\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"><\/path><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>On April 11th, 2016, the third Microsoft Indoor Localization Competition took place. A team of the Linz Center of Mechatronics GmbH (LCM) participated in the category \u201cinfrastructure-based\u201d (3D position estimation) [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":6189,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[11,171,173,167],"tags":[],"class_list":["post-6195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allgemein-en","category-lcm-in-business-business-models","category-localization-systems-and-tracking","category-research-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Microsoft Indoor Localization Competition 2016 | Vienna - LCM<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft Indoor Localization Competition 2016 | Vienna - LCM\" \/>\n<meta property=\"og:description\" content=\"On April 11th, 2016, the third Microsoft Indoor Localization Competition took place. 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