{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:30:40Z","timestamp":1775838640244,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"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":[[2022,7,17]]},"DOI":"10.1109\/rcar54675.2022.9872180","type":"proceedings-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:31:54Z","timestamp":1662409914000},"page":"481-486","source":"Crossref","is-referenced-by-count":9,"title":["Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Wen","family":"Fu","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Control Science and Engineering,Department of Control Science and Engineering,Shenzhen,China"}]},{"given":"Yanjie","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Control Science and Engineering,Department of Control Science and Engineering,Shenzhen,China"}]},{"given":"Zhaohui","family":"Ye","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Control Science and Engineering,Department of Control Science and Engineering,Shenzhen,China"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Control Science and Engineering,Department of Control Science and Engineering,Shenzhen,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_36"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793742"},{"key":"ref12","article-title":"Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning","author":"chen","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/RCAR52367.2021.9517610"},{"key":"ref14","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv preprint arXiv 2010 11419"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00700"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref18","article-title":"CARLA: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref3","article-title":"End to end learning for self-driving cars","author":"bojarski","year":"2016","journal-title":"arXiv preprint arXiv 1604 07316"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.19.AVM-023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2021.9010012"},{"key":"ref8","article-title":"Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning","author":"chen","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917306"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852110"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3450267.3450542"},{"key":"ref9","article-title":"Learning by cheating","author":"chen","year":"2020","journal-title":"Conference on Robot Learning"}],"event":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","location":"Guiyang, China","start":{"date-parts":[[2022,7,17]]},"end":{"date-parts":[[2022,7,22]]}},"container-title":["2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9872150\/9872152\/09872180.pdf?arnumber=9872180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:48:22Z","timestamp":1667522902000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9872180\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/rcar54675.2022.9872180","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}