{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T05:56:47Z","timestamp":1784872607378,"version":"3.55.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956525","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2921-2927","source":"Crossref","is-referenced-by-count":6,"title":["Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction"],"prefix":"10.1109","author":[{"given":"Jie","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caili","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minan","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiujiu","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref11","article-title":"Multimodal trajectory prediction conditioned on lane-graph traversals","author":"deo","year":"2021","journal-title":"CoRL"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9576054"},{"key":"ref14","article-title":"Trajectory forecasts in unknown environments conditioned on grid-based plans","author":"deo","year":"2020","journal-title":"arXiv preprint arXiv 2001 02466"},{"key":"ref15","article-title":"Recog: A deep learning framework with heterogeneous graph for interaction-aware trajectory prediction","author":"mo","year":"2020","journal-title":"2012 arXiv preprint arXiv"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341288"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01408"},{"key":"ref18","article-title":"Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"chai","year":"2019","journal-title":"CoRL"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636035"},{"key":"ref4","article-title":"Map-adaptive goal-based trajectory prediction","author":"zhang","year":"2020","journal-title":"CoRL"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341034"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref5","article-title":"What-if motion prediction for autonomous driving","author":"khandelwal","year":"2020","journal-title":"arXiv preprint arXiv 2008 10856"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref7","article-title":"Tnt: Target-driven trajectory prediction","author":"zhao","year":"2020","journal-title":"CoRL"},{"key":"ref2","first-page":"7949","article-title":"Lane-attention: Predicting vehicles&#x2019; moving trajectories by learning their attention over lanes","author":"pan","year":"2020","journal-title":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01440"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2578706"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00731"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_37"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00749"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01116"},{"key":"ref25","article-title":"Multi-modal motion prediction with transformer-based neural network for autonomous driving","author":"huang","year":"2021","journal-title":"arXiv preprint arXiv 2109 05674"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956525.pdf?arnumber=9956525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:34Z","timestamp":1671480214000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956525\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956525","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}