{"id":80,"date":"2019-05-28T23:14:39","date_gmt":"2019-05-28T23:14:39","guid":{"rendered":"https:\/\/ubisys.org\/chi19ws-automation\/wp-content\/uploads\/sites\/2\/2019\/05\/6-graf-teleoperated-driving.pdf"},"modified":"2019-05-28T23:14:51","modified_gmt":"2019-05-28T23:14:51","slug":"6-graf-teleoperated-driving","status":"inherit","type":"attachment","link":"https:\/\/ubisys.org\/chi19ws-automation\/accepted-position-papers\/6-graf-teleoperated-driving\/","title":{"rendered":"Combining direct and indirect control for teleoperated autonomous vehicle"},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"class_list":["post-80","attachment","type-attachment","status-inherit","hentry"],"description":{"rendered":"<p class=\"attachment\"><a href='https:\/\/ubisys.org\/chi19ws-automation\/wp-content\/uploads\/sites\/2\/2019\/05\/6-graf-teleoperated-driving.pdf'>Combining direct and indirect control for teleoperated autonomous vehicle<\/a><\/p>\n<p>Despite the rapid progress in machine learning, sensor technology, and communication infrastructure, in certain situations self-driving cars will need human situational assessment. For example, upon recognising an obstacle on the road a request might be routed to a teleoperator, who can assess and manage the situation with the help of a dedicated workspace. Besides providing adequate views to assess the remote traffic situation, the workspace needs to enable the operator to remotely move the vehicle. A common solution to this problem is direct remote steering. However, constraints of real-world traffic scenarios, in particular the availability of high-bandwidth mobile networks, have led to concepts not relying on ultra-low latency, such as path-planning or maneuver selection. Future work, should focus on integrating different remote operating concepts into a teleoperator workspace design in order to support the variety and complexity of real-world autonomous driving challenges.<\/p>\n"},"caption":{"rendered":"<p>Combining direct and indirect control for teleoperated autonomous vehicle Despite the rapid progress in machine learning, sensor technology, and communication infrastructure, in certain situations self-driving cars will need human situational assessment. For example, upon recognising an obstacle on the road a request might be routed to a teleoperator, who can assess and manage the situation [&hellip;]<\/p>\n"},"alt_text":"","media_type":"file","mime_type":"application\/pdf","media_details":{},"post":63,"source_url":"https:\/\/ubisys.org\/chi19ws-automation\/wp-content\/uploads\/sites\/2\/2019\/05\/6-graf-teleoperated-driving.pdf","_links":{"self":[{"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/media\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/media"}],"about":[{"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/types\/attachment"}],"author":[{"embeddable":true,"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/comments?post=80"}],"wp:attached-to":[{"embeddable":true,"post_type":"page","id":63,"href":"https:\/\/ubisys.org\/chi19ws-automation\/wp-json\/wp\/v2\/pages\/63"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}