{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,10]],"date-time":"2026-11-10T10:21:35Z","timestamp":1794306095868,"version":"4.9.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/icra40945.2020.9197560","type":"proceedings-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T17:25:46Z","timestamp":1600190746000},"page":"10563-10569","source":"Crossref","is-referenced-by-count":89,"title":["Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions"],"prefix":"10.1109","author":[{"given":"Henggang","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thi","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang-Chieh","family":"Chou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tsung-Han","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeff","family":"Schneider","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Bradley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nemanja","family":"Djuric","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"8299","article-title":"Differentiable mpc for end-to-end planning and control","volume":"31","author":"amos","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2013.6728576"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref32","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","author":"ross","year":"2011","journal-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00868"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref37","article-title":"Receding horizon model- predictive control for mobile robot navigation of intricate paths","author":"howard","year":"2009","journal-title":"Proceedings of the International Conference of Field and Service Robotics"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225830"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_47"},{"key":"ref34","article-title":"Maximum entropy inverse reinforcement learning","author":"ziebart","year":"2008"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01240"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ASSPCC.2000.882463"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref13","article-title":"Predicting motion of vulnerable road users using high-definition maps and efficient convnets","author":"chou","year":"2018","journal-title":"Workshop on 'Machine Learning for Intelligent Transportation Systems' at Conference on Neural Information Processing Systems (MLITS)"},{"key":"ref14","author":"rajamani","year":"2011","journal-title":"Vehicle Dynamics and Control"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995969"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2014.2306552"},{"key":"ref17","article-title":"Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst","author":"bansal","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2162714"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref4","article-title":"Public perceptions of self-driving cars: The case of Berkeley, California","volume":"14","author":"howard","year":"2014","journal-title":"Transportation Research Board Annu Meeting"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00587"},{"key":"ref3","article-title":"Early estimate of motor vehicle traffic fatalities for the first half (jan-jun) of 2018","year":"2018","journal-title":"Tech Rep DOT HS 812 629"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00376"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref5","first-page":"947","article-title":"Intentnet: Learning to predict intention from raw sensor data","author":"casas","year":"2018","journal-title":"Conference on Robot Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref7","article-title":"Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving","author":"djuric","year":"2018"},{"key":"ref2","article-title":"Critical reasons for crashes investigated in the national motor vehicle crash causation survey","author":"singh","year":"2018","journal-title":"Tech Rep DOT HS 812 506"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2008.34"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2014.6856508"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1167"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2522507"},{"key":"ref42","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317943"},{"key":"ref41","first-page":"1","article-title":"Comparison and evaluation of advanced motion models for vehicle tracking","author":"schubert","year":"2008","journal-title":"FUSION"},{"key":"ref23","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0"},{"key":"ref26","first-page":"4539","article-title":"Visual interaction networks: Learning a physics simulator from video","author":"watters","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016120"}],"event":{"name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","location":"Paris, France","start":{"date-parts":[[2020,5,31]]},"end":{"date-parts":[[2020,8,31]]}},"container-title":["2020 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9187508\/9196508\/09197560.pdf?arnumber=9197560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:19:56Z","timestamp":1656361196000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9197560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icra40945.2020.9197560","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}