{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T13:15:08Z","timestamp":1780492508636,"version":"3.54.1"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.02628","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"28303-28312","source":"Crossref","is-referenced-by-count":2,"title":["Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics"],"prefix":"10.1109","author":[{"given":"Muleilan","family":"Pei","sequence":"first","affiliation":[{"name":"HKUST"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoshuai","family":"Shi","sequence":"additional","affiliation":[{"name":"Voyager Research, Didi Chuxing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuesong","family":"Chen","sequence":"additional","affiliation":[{"name":"Voyager Research, Didi Chuxing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhuoyu Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojie","family":"Shen","sequence":"additional","affiliation":[{"name":"HKUST"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_19332"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref6","author":"Deo","year":"2020","journal-title":"Trajectory forecasts in unknown environments conditioned on grid-based plans"},{"key":"ref7","first-page":"203","article-title":"Multimodal trajectory prediction conditioned on lane-graph traversals","volume-title":"Conference on Robot Learning","author":"Deo","year":"2021"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3311351"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73254-6_7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2988287"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref12","author":"Gilles","year":"2021","journal-title":"Thomas: Trajectory heatmap output with learned multi-agent sampling"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/oed\/1545583212"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-025-09422-z"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3254579"},{"key":"ref17","author":"Jaech","year":"2024","journal-title":"Openai o1 system card"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812337"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3012034"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160609"},{"key":"ref22","first-page":"2","article-title":"Algorithms for inverse reinforcement learning","volume-title":"International conference on machine learning","author":"Ng","year":"2000"},{"key":"ref23","author":"Ngiam","year":"2021","journal-title":"Scene transformer: A unified architecture for predicting multiple agent trajectories"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICUS50048.2020.9274920"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3096935"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3574978"},{"key":"ref27","article-title":"Goirl: Graph-oriented inverse reinforcement learning for multimodal trajectory prediction","volume-title":"International Conference on Machine Learning (ICML)","author":"Pei","year":"2025"},{"key":"ref28","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Qi","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974393"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279964"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0473"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_36"},{"key":"ref34","first-page":"1035","article-title":"Learning to predict vehicle trajectories with model-based planning","volume-title":"Conference on Robot Learning","author":"Song","year":"2021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01445"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812107"},{"key":"ref38","author":"Wilson","year":"2023","journal-title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3005126"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917722396"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3342706"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3383"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981923"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3370039"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00862"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01713"},{"key":"ref47","author":"Zhu","year":"2024","journal-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model"},{"key":"ref48","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","author":"Ziebart","year":"2008","journal-title":"AAAI"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445286.pdf?arnumber=11445286","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:23:18Z","timestamp":1777612998000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445286\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.02628","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}