{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:11:18Z","timestamp":1773436278551,"version":"3.50.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001804","name":"Canada Research Chairs","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tvt.2024.3454574","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T13:24:09Z","timestamp":1725369849000},"page":"3751-3764","source":"Crossref","is-referenced-by-count":3,"title":["Hierarchical Transformers for Motion Forecasting Based on Inverse Reinforcement Learning"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2872-1438","authenticated-orcid":false,"given":"Mozhgan Nasr","family":"Azadani","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3851-9938","authenticated-orcid":false,"given":"Azzedine","family":"Boukerche","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3076140"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3285891"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2048314"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2157342"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2913166"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3151263"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3115018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3250485"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3248842"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3301720"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108337"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3416013.3426460"},{"key":"ref15","first-page":"894","article-title":"Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories","volume-title":"Proc. Conf. Robot Learn.","author":"Zhang","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LCN52139.2021.9524995"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01660"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812253"},{"key":"ref19","article-title":"Thomas: Trajectory heatmap output with learned multi-agent sampling","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gilles","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3170551"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3282308"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IV51971.2022.9827091"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575874"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/itsc.2019.8917228"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2022.103021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01240"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01495"},{"key":"ref29","first-page":"86","article-title":"Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","volume-title":"Proc. Conf. Robot Learn.","author":"Chai"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01713"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3188662"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_36"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3173944"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054625"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3283542"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3254579"},{"key":"ref39","article-title":"Trajectory forecasts in unknown environments conditioned on grid-based plans","author":"Deo","year":"2020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122499"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3315675"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1049\/itr2.12172"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00228"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3167103"},{"key":"ref46","article-title":"Scene transformer: A unified architecture for predicting future trajectories of multiple agents","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ngiam","year":"2021"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3311351"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00749"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3258685"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/OJITS.2023.3233952"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_30"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3274777"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3273230"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3331651"},{"key":"ref55","article-title":"Reinforcement learning and control as probabilistic inference: Tutorial and review","author":"Levine","year":"2018"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569552"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3219874"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304839"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_33"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2991952"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9562034"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/25\/10910276\/10664048.pdf?arnumber=10664048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:53:10Z","timestamp":1773431590000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10664048\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":64,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3454574","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}