{"id":31073,"date":"2024-10-23T15:29:04","date_gmt":"2024-10-23T13:29:04","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/trouble-understanding-sample-trajectory-data\/"},"modified":"2024-10-23T15:29:04","modified_gmt":"2024-10-23T13:29:04","slug":"trouble-understanding-sample-trajectory-data","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/trouble-understanding-sample-trajectory-data\/","title":{"rendered":"Trouble Understanding Sample Trajectory Data"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I&#8217;m currently undertaking a project in which I aim to predict the trajectory of other road users as recorded from a camera at the top of a car. I am currently looking at the apolloscape sample_trajectory data which is a text document of 9 headings. This data represents the position of vehicles from the images in the second downloadable data (which is 500 images). I want to identify a specific vehicle (which I&#8217;m guessing, is represented by a unique ID in the second column) and locate it on the images. However, I am unsure as to what the other columns represent. <\/p>\n<p>Overall I would like to know for sure what each column of the dataset means with respect to the images so I can plot vehicle locations ontop of the images.<\/p>\n<p><a href=\"https:\/\/apolloscape.auto\/trajectory.html#to_structure_href\">https:\/\/apolloscape.auto\/trajectory.html#to_structure_href<\/a><\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Hxnter10\"> \/u\/Hxnter10 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1gaak5r\/trouble_understanding_sample_trajectory_data\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1gaak5r\/trouble_understanding_sample_trajectory_data\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-31073 jlk' href='javascript:void(0)' data-task='like' data-post_id='31073' data-nonce='614a020375' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-31073 lc'>0<\/span><\/a><\/div><\/div> <div class='status-31073 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I&#8217;m currently undertaking a project in which I aim to predict the trajectory of other road users&#8230;<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-31073","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/31073","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=31073"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/31073\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=31073"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=31073"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=31073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}