{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:26:36Z","timestamp":1784643996369,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100005156","name":"Alexander von Humboldt-Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005156","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/tits.2023.3331143","type":"journal-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T20:49:31Z","timestamp":1702327771000},"page":"4192-4205","source":"Crossref","is-referenced-by-count":24,"title":["Efficient Baselines for Motion Prediction in Autonomous Driving"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3819-3747","authenticated-orcid":false,"given":"Carlos","family":"G\u00f3mez-Hu\u00e9lamo","sequence":"first","affiliation":[{"name":"Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5823-4964","authenticated-orcid":false,"given":"Marcos V.","family":"Conde","sequence":"additional","affiliation":[{"name":"Computer Vision Laboratory, University of Würzburg, Würzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4179-6100","authenticated-orcid":false,"given":"Rafael","family":"Barea","sequence":"additional","affiliation":[{"name":"Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8875-1866","authenticated-orcid":false,"given":"Manuel","family":"Oca\u00f1a","sequence":"additional","affiliation":[{"name":"Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0087-3077","authenticated-orcid":false,"given":"Luis M.","family":"Bergasa","sequence":"additional","affiliation":[{"name":"Computer Vision Laboratory, University of Würzburg, Würzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.trc.2015.09.011","article-title":"Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions","volume":"60","author":"Katrakazas","year":"2015","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812060"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564944"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69532-3_25"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575443"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3167103"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref10","first-page":"947","article-title":"IntentNet: Learning to predict intention from raw sensor data","volume-title":"Proc. Conf. Robot Learn.","author":"Casas"},{"key":"ref11","first-page":"86","article-title":"MultiPath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","volume-title":"Proc. Conf. Robot Learn.","volume":"100","author":"Chai"},{"key":"ref12","article-title":"GOHOME: Graph-oriented heatmap output for future motion estimation","author":"Gilles","year":"2021","journal-title":"arXiv:2109.01827"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9921804"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00957"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146898"},{"key":"ref18","article-title":"MultiPath++: Efficient information fusion and trajectory aggregation for behavior prediction","author":"Varadarajan","year":"2021","journal-title":"arXiv:2111.14973"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636035"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref21","article-title":"Trajectory prediction using equivariant continuous convolution","author":"Walters","year":"2020","journal-title":"arXiv:2010.11344"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_40"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197340"},{"key":"ref25","article-title":"TNT: Target-driveN trajectory prediction","author":"Zhao","year":"2020","journal-title":"arXiv:2008.08294"},{"key":"ref26","article-title":"What-if motion prediction for autonomous driving","author":"Khandelwal","year":"2020","journal-title":"arXiv:2008.10587"},{"key":"ref27","first-page":"1","article-title":"Scene transformer: A unified architecture for predicting future trajectories of multiple agents","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ngiam"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01417"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811637"},{"key":"ref30","article-title":"Heterogeneous-agent trajectory forecasting incorporating class uncertainty","author":"Ivanovic","year":"2021","journal-title":"arXiv:2104.12446"},{"key":"ref31","article-title":"Motion planning for nonholonomic vehicles: An introduction","author":"Triggs","year":"1993"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.120.145301"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref34","article-title":"ArgoVerse 2: Next generation datasets for self-driving perception and forecasting","author":"Wilson","year":"2023","journal-title":"arXiv:2301.00493"},{"key":"ref35","article-title":"Planning minimum-energy paths in an off-road environment with anisotropic traversal costs and motion constraints","author":"Ross","year":"1989"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546189"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01116"},{"key":"ref38","article-title":"Diverse multiple trajectory prediction using a two-stage prediction network trained with lane loss","author":"Kim","year":"2022","journal-title":"arXiv:2206.08641"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00683"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00749"},{"key":"ref41","article-title":"DenseTNT: Waymo open dataset motion prediction challenge 1st place solution","author":"Gu","year":"2021","journal-title":"arXiv:2106.14160"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1049\/itr2.12207"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10530501\/10352999.pdf?arnumber=10352999","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:43:15Z","timestamp":1733884995000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10352999\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":43,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3331143","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}