{"id":268953,"date":"2016-06-24T00:00:57","date_gmt":"2016-06-24T07:00:57","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=268953"},"modified":"2016-08-01T13:35:32","modified_gmt":"2016-08-01T20:35:32","slug":"experiments-in-indoor-localization-and-vehicle-classification","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/experiments-in-indoor-localization-and-vehicle-classification\/","title":{"rendered":"Experiments in Indoor Localization and Vehicle Classification"},"content":{"rendered":"<p>Sensing, Computing and Communication are essential components of an IoT system. The talk will cover two experiments in indoor localization for harsh environments and vehicle classification for road traffic monitoring. Details about the system specifications, approach to designing the system under constraints, theoretical modelling, and implementation of algorithms on a resource-constrained platform will be presented.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sensing, Computing and Communication are essential components of an IoT system. The talk will cover two experiments in indoor localization for harsh environments and vehicle classification for road traffic monitoring. Details about the system specifications, approach to designing the system under constraints, theoretical modelling, and implementation of algorithms on a resource-constrained platform will be presented.<\/p>\n","protected":false},"featured_media":268971,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[198583,13568],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-268953","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-ecology-environment","msr-research-area-technology-for-emerging-markets","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/IZywKtNmevU","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/268953"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/268953\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/268971"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=268953"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=268953"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=268953"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=268953"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=268953"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=268953"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}