{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:32:15Z","timestamp":1783701135302,"version":"3.55.0"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFE0200600"],"award-info":[{"award-number":["2024YFE0200600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LR23F010005"],"award-info":[{"award-number":["LR23F010005"]}]},{"name":"Huawei Cooperation Project","award":["TC20240829036"],"award-info":[{"award-number":["TC20240829036"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tits.2025.3611377","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T17:55:01Z","timestamp":1759168501000},"page":"21939-21953","source":"Crossref","is-referenced-by-count":1,"title":["Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1713-8897","authenticated-orcid":false,"given":"Jiahao","family":"Huang","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0498-9245","authenticated-orcid":false,"given":"Jianhang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4297-5060","authenticated-orcid":false,"given":"Rongpeng","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5479-7890","authenticated-orcid":false,"given":"Zhifeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang Laboratory, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honggang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Macau University of Science and Technology, Macau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"459","article-title":"PlanT: Explainable planning transformers via object-level representations","volume-title":"Proc. 6th Conf. Robot Learn.","author":"Renz"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01319"},{"key":"ref3","first-page":"10784","article-title":"Learning to simulate self-driven particles system with coordinated policy optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Peng"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2023.3239115"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812038"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01674"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_36"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_7"},{"key":"ref9","volume-title":"Physical Channels and Modulation","year":"2024"},{"key":"ref10","article-title":"Pragmatic communication in multi-agent collaborative perception","author":"Hu","year":"2024","journal-title":"arXiv:2401.12694"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3560327"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801398"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00416"},{"key":"ref14","first-page":"4874","article-title":"Where2comm: Communication-efficient collaborative perception via spatial confidence maps","volume-title":"Proc. 36th Conf. Neural Inf. Process. Syst. (Neurips)","author":"Hu"},{"key":"ref15","first-page":"28462","article-title":"Asynchrony-robust collaborative perception via bird\u2019s eye view flow","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Wei"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610635"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3390414"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MBITS.2023.3322667"},{"key":"ref19","first-page":"66","article-title":"Learning by cheating","volume-title":"Proc. Conf. Robot Learn.","author":"Chen"},{"key":"ref20","article-title":"Revisiting communication efficiency in multi-agent reinforcement learning from the dimensional analysis perspective","author":"Sun","year":"2025","journal-title":"arXiv:2501.02888"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3318070"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3317549.3323406"},{"key":"ref23","article-title":"MaskMA: Towards zero-shot multi-agent decision making with mask-based collaborative learning","author":"Liu","year":"2023","journal-title":"arXiv:2310.11846"},{"key":"ref24","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proc. Conf. Robot Learn.","author":"Dosovitskiy"},{"key":"ref25","volume-title":"CARLA Leaderboard","year":"2025"},{"key":"ref26","article-title":"Safety-enhanced autonomous driving using interpretable sensor fusion transformer","author":"Shao","year":"2022","journal-title":"arXiv:2207.14024"},{"key":"ref27","article-title":"Research challenges and progress in the end-to-end V2X cooperative autonomous driving competition","author":"Hao","year":"2025","journal-title":"arXiv:2507.21610"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3308098"},{"key":"ref29","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":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460487"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087248"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2024.3420214"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/VETECS.2008.458"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MCOMSTD.2017.1700015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2011.2132790"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3028621"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_19"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2833849"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/9781119471509.w5GRef048"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3029723"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.479"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0025"},{"key":"ref44","first-page":"6119","article-title":"Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IV55156.2024.10588589"},{"key":"ref46","first-page":"34493","article-title":"Flow-based feature fusion for vehicle-infrastructure cooperative 3D object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Yu"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00593"},{"key":"ref48","first-page":"5123","article-title":"PredRNN++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01800"},{"key":"ref50","first-page":"26950","article-title":"MAU: A motion-aware unit for video prediction and beyond","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chang"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01149"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01161"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01140"},{"key":"ref55","volume-title":"NVIDIA DRIVE Thor","year":"2022"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.478"},{"key":"ref57","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Jaderberg"},{"key":"ref58","first-page":"1","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Jang"},{"key":"ref59","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013","journal-title":"arXiv:1308.3432"},{"key":"ref60","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"arXiv:1409.1556","author":"Simonyan"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00757"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00635"},{"key":"ref63","volume-title":"ASAM OpenDRIVE Standard","year":"2025"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322465"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2023.3345956"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02067"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11278554\/11184678.pdf?arnumber=11184678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:40:54Z","timestamp":1764960054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11184678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":67,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3611377","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}