{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T05:09:58Z","timestamp":1772255398214,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011347","name":"State Key Laboratory of Software Development Environment","doi-asserted-by":"publisher","award":["SKLSDE-2020ZX-26"],"award-info":[{"award-number":["SKLSDE-2020ZX-26"]}],"id":[{"id":"10.13039\/501100011347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFB1301100"],"award-info":[{"award-number":["2017YFB1301100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772060"],"award-info":[{"award-number":["61772060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012240","name":"Academic Excellence Foundation of BUAA for Ph.D. Students","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012240","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tits.2021.3066366","type":"journal-article","created":{"date-parts":[[2021,4,6]],"date-time":"2021-04-06T19:47:45Z","timestamp":1617738465000},"page":"6991-7007","source":"Crossref","is-referenced-by-count":40,"title":["Reinforcement-Tracking: An Effective Trajectory Tracking and Navigation Method for Autonomous Urban Driving"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4973-1571","authenticated-orcid":false,"given":"Meng","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3041-6907","authenticated-orcid":false,"given":"Fei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Transportation Science and Engineering, Beihang University, Beijing, China"}]},{"given":"Jialun","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3946-5107","authenticated-orcid":false,"given":"Jianwei","family":"Niu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7599-612X","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2018.02.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aau5872"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/SLE.0b013e3181ec65a5"},{"key":"ref8","first-page":"1089","article-title":"First results in robot road-following","volume-title":"Proc. 9th Int. Joint Conf. Artif. Intell.","author":"Wallace"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20126"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20147"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5772\/51314"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/00423119208969406"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2005.858622"},{"key":"ref14","article-title":"Automatic steering methods for autonomous automobile path tracking","author":"Snider","year":"2009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2011.5940562"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(82)90069-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(89)90002-2"},{"key":"ref18","first-page":"739","article-title":"Off-road obstacle avoidance through end-to-end learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"LeCun"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2463372.2463509"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11490"},{"key":"ref21","first-page":"1","article-title":"Simulated car racing championship: Competition software manual","volume":"abs\/1304.1672","author":"Loiacono","year":"2013","journal-title":"CoRR"},{"key":"ref22","volume-title":"Self-Driving Truck","author":"Jung","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1981.4308705"},{"key":"ref24","article-title":"A study of method for modelling closed-loop vehicle directional control","author":"Guo","year":"1982"},{"key":"ref25","first-page":"159","article-title":"Preview-follower method for modelling closed-loop vehicle directional control","volume-title":"Proc. 19th Annu. Conf. Manual Control Massachusetts","author":"Guo"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2578706"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2012.672842"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2014.2306552"},{"key":"ref29","first-page":"305","article-title":"ALVINN: An autonomous land vehicle in a neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Pomerleau"},{"key":"ref30","first-page":"1","article-title":"End to end learning for self-driving cars","volume":"abs\/1604.07316","author":"Bojarski","year":"2016","journal-title":"CoRR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995975"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aaw1975"},{"key":"ref34","volume-title":"Ddpg-Keras-Torcs","author":"Lau","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.10.024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/2300000021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913495721"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1613\/jair.898"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992699"},{"key":"ref40","first-page":"1","article-title":"Proximal policy optimization algorithms","volume":"abs\/1707.06347","author":"Schulman","year":"2017","journal-title":"CoRR"},{"key":"ref41","first-page":"1582","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Fujimoto"},{"key":"ref42","first-page":"1856","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Haarnoja"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-W7-825-2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.78.4.331"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.11.005"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1142\/9789812813381_0003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2015.2493980"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202134"},{"key":"ref49","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Statist.","author":"Ross"},{"key":"ref50","first-page":"387","article-title":"Deterministic policy gradient algorithms","volume-title":"Proc. 31st ICML","author":"Silver"},{"key":"ref51","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref52","first-page":"1","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. 4th ICLR","author":"Lillicrap"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2009.07.008"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2008.2012116"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2007.4282788"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933895"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225830"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.1994.639489"},{"key":"ref60","first-page":"42","article-title":"Actor\u2013critic reinforcement learning for autonomous control of unmanned ground vehicles","volume":"354","author":"Xu","year":"2016","journal-title":"Sci. Robot."},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2011.5940478"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/FBIT.2007.37"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/s18092905"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9826234\/09397438.pdf?arnumber=9397438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:16:29Z","timestamp":1704842189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9397438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":63,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3066366","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}