{"id":539,"date":"2017-02-06T19:45:36","date_gmt":"2017-02-06T19:45:36","guid":{"rendered":"http:\/\/sar-lab.net\/?p=539"},"modified":"2017-02-06T19:45:36","modified_gmt":"2017-02-06T19:45:36","slug":"2017-autonomous-snowplow-competition","status":"publish","type":"post","link":"https:\/\/sar-lab.net\/?p=539","title":{"rendered":"2017 Autonomous Snowplow Competition"},"content":{"rendered":"<div dir=\"auto\">At the<a href=\"http:\/\/autosnowplow.com\/2017_Event_and_Results.html\"> 2017 ION Autonomous Snowplow Competition<\/a>, of 8 competing teams UM-Dearborn&#8217;s Yeti won <u>second<\/u> place ($4000) and team Zenith won <u>first<\/u> place in the new Cooperative Snowplow challenge ($700).&nbsp;<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n<div dir=\"auto\">Yeti and Zenith are primarily developed by students from the Intelligent Systems Club (ISC), advised by prof. Rawashdeh. Yeti uses a LIDAR for localization and obstacle avoidance, while Zenith is based on stereo vision.&nbsp;<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n<div dir=\"auto\">Some photos and videos can be found on the ISC <a href=\"https:\/\/twitter.com\/IscUmd\">club&#8217;s Twitter page<\/a>.<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n<div dir=\"auto\">\n<div id='gallery-1' class='gallery galleryid-539 gallery-columns-3 gallery-size-thumbnail'><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/sar-lab.net\/?attachment_id=541'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/sar-lab.net\/wp-content\/uploads\/2017\/02\/IMG_20170129_125815-scaled-1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" \/><\/a>\n\t\t\t<\/div><\/figure><figure class='gallery-item'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/sar-lab.net\/?attachment_id=540'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/sar-lab.net\/wp-content\/uploads\/2017\/02\/Yeti7-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" \/><\/a>\n\t\t\t<\/div><\/figure>\n\t\t<\/div>\n\n<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n<div dir=\"auto\">&nbsp;<\/div>\n","protected":false},"excerpt":{"rendered":"<p>At the 2017 ION Autonomous Snowplow Competition, of 8 competing teams UM-Dearborn&#8217;s Yeti won second place ($4000) and team Zenith won first place in the new Cooperative Snowplow challenge ($700).&nbsp; &nbsp; Yeti and Zenith are primarily developed by students from the Intelligent Systems Club (ISC), advised by prof. Rawashdeh. Yeti uses a LIDAR for localization [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[],"class_list":["post-539","post","type-post","status-publish","format-standard","hentry","category-unmanned-vehicles"],"_links":{"self":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts\/539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=539"}],"version-history":[{"count":0,"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts\/539\/revisions"}],"wp:attachment":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}