{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T10:34:07Z","timestamp":1784284447626,"version":"3.55.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20490"],"award-info":[{"award-number":["U21A20490"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61633009"],"award-info":[{"award-number":["61633009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61973301"],"award-info":[{"award-number":["61973301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972020"],"award-info":[{"award-number":["61972020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772373"],"award-info":[{"award-number":["61772373"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51579053"],"award-info":[{"award-number":["51579053"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1613213"],"award-info":[{"award-number":["U1613213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["Z201100006820046"],"award-info":[{"award-number":["Z201100006820046"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tits.2023.3300730","type":"journal-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T17:30:09Z","timestamp":1691775009000},"page":"14957-14969","source":"Crossref","is-referenced-by-count":17,"title":["CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8167-7018","authenticated-orcid":false,"given":"Hao","family":"Zhou","sequence":"first","affiliation":[{"name":"National Key Laboratory of Science and Technology of Underwater Vehicle, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0553-4581","authenticated-orcid":false,"given":"Xu","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0909-5419","authenticated-orcid":false,"given":"Dongchun","family":"Ren","sequence":"additional","affiliation":[{"name":"Research Center for Autonomous Vehicles, Meituan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7764-0442","authenticated-orcid":false,"given":"Hai","family":"Huang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Science and Technology of Underwater Vehicle, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0492-4708","authenticated-orcid":false,"given":"Mingyu","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Donghua University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00221"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2852793"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.20485\/jsaeijae.7.AVEC14_53"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3129588"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084143"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_40"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_18"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428168"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2018.2873901"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3065019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_33"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref22","first-page":"1","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume-title":"Proc. NIPS Workshop Deep Learn.","author":"Chung"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00587"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3038217"},{"key":"ref25","first-page":"895","article-title":"TNT: Target-driven trajectory prediction","volume-title":"Proc. Conf. Robot Learn.","author":"Zhao"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_45"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01495"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00753"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_22"},{"issue":"3","key":"ref31","article-title":"Gaussian processes for machine learning (adaptive computation and machine learning)","volume":"2","author":"Ramussen","year":"2006"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2008.2011691"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2011.5940452"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917228"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412190"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00228"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3268110"},{"key":"ref39","volume-title":"Inequalities","author":"Hardy","year":"1952"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref41","first-page":"137","article-title":"Social-BiGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"32","author":"Kosaraju"},{"key":"ref42","article-title":"Trajectory forecasts in unknown environments conditioned on grid-based plans","author":"Deo","year":"2020","journal-title":"arXiv:2001.00735"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304839"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00636"},{"key":"ref45","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"32","author":"Paszke"},{"key":"ref46","first-page":"11","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00637"},{"key":"ref48","first-page":"100","article-title":"Conditional flow variational autoencoders for structured sequence prediction","volume-title":"Proc. 4th Workshop Bayesian Deep Learn.","author":"Bhattacharyya"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967822"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_17"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_16"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10339106\/10215313.pdf?arnumber=10215313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T18:56:50Z","timestamp":1709319410000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10215313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":51,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3300730","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}