{"id":449,"date":"2017-04-08T02:50:40","date_gmt":"2017-04-08T02:50:40","guid":{"rendered":"http:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/?page_id=449"},"modified":"2017-05-12T15:09:18","modified_gmt":"2017-05-12T15:09:18","slug":"autonomy","status":"publish","type":"page","link":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/system-implementation\/autonomy\/","title":{"rendered":"Autonomy"},"content":{"rendered":"<p>As a reach goal for this spring validation experiment, our team has decided to implement basic autonomous capability into our system. It uses pure point cloud localization for state estimation, coupled with colorized point clouds for visualization. <\/p>\n<p>Below is a visualization of the architecture of our trajectory planner and motion manager software packages. <\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-content\/uploads\/sites\/13\/2017\/04\/Screen-Shot-2017-04-07-at-10.48.19-PM-1024x581.png\" alt=\"\" width=\"474\" height=\"269\" class=\"alignnone size-large wp-image-450\" srcset=\"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-content\/uploads\/sites\/13\/2017\/04\/Screen-Shot-2017-04-07-at-10.48.19-PM-1024x581.png 1024w, https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-content\/uploads\/sites\/13\/2017\/04\/Screen-Shot-2017-04-07-at-10.48.19-PM-300x170.png 300w, https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-content\/uploads\/sites\/13\/2017\/04\/Screen-Shot-2017-04-07-at-10.48.19-PM-768x436.png 768w, https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-content\/uploads\/sites\/13\/2017\/04\/Screen-Shot-2017-04-07-at-10.48.19-PM.png 1850w\" sizes=\"auto, (max-width: 474px) 100vw, 474px\" \/><\/p>\n<p>Work is underway to integrate our work in simulation with a physical mini-quadrotor; eventually scaling up to the full size hexrotor for full system integration. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>As a reach goal for this spring validation experiment, our team has decided to implement basic autonomous capability into our system. It uses pure point cloud localization for state estimation, coupled with colorized point clouds for visualization. Below is a visualization of the architecture of our trajectory planner and motion manager software packages. Work is &hellip; <a href=\"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/system-implementation\/autonomy\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Autonomy<\/span><\/a><\/p>\n","protected":false},"author":65,"featured_media":0,"parent":12,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-449","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/pages\/449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/users\/65"}],"replies":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/comments?post=449"}],"version-history":[{"count":2,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/pages\/449\/revisions"}],"predecessor-version":[{"id":505,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/pages\/449\/revisions\/505"}],"up":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/pages\/12"}],"wp:attachment":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2016teamb\/wp-json\/wp\/v2\/media?parent=449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}