{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:05:03Z","timestamp":1778256303113,"version":"3.51.4"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"German Federal Ministry of Transport and Digital Infrastructure"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1109\/lra.2020.2969925","type":"journal-article","created":{"date-parts":[[2020,1,28]],"date-time":"2020-01-28T22:39:26Z","timestamp":1580251166000},"page":"1696-1703","source":"Crossref","is-referenced-by-count":228,"title":["What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5644-1604","authenticated-orcid":false,"given":"Christoph","family":"Scholler","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Aravantinos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florian","family":"Lay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alois","family":"Knoll","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref32","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2009.5354147"},{"key":"ref36","article-title":"Exploring nearest neighbor approaches for image captioning","author":"devlin","year":"2015","journal-title":"arXiv 1505 04467"},{"key":"ref35","article-title":"Approximating CNNs with bag-of-local-features models works surprisingly well on imagenet","author":"brendel","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","first-page":"45","article-title":"Troubling trends in machine learning scholarship","author":"lipton","year":"0","journal-title":"Proc Int Conf Mach Learn Debates"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0278364910365417"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139259"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130233"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995468"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_13"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509779"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00553"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016120"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569434"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461157"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref6","first-page":"261","article-title":"You’ll never walk alone: Modeling social behavior for multi-target tracking","author":"pellegrini","year":"0","journal-title":"Proc Int Conf Comput Vision"},{"key":"ref29","article-title":"Context-aware pedestrian motion prediction in urban intersections","author":"habibi","year":"2018","journal-title":"arxiv 1806 09453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2364458"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-997-0_24"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1104-4"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref20","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_42"},{"key":"ref21","article-title":"Social ways: Learning multi-modal distributions of pedestrian trajectories with gans","author":"amirian","year":"0","journal-title":"Proc Conf Comput Vision Pattern Recognit Workshops (CVPR Workshops)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref23","article-title":"A transferable pedestrian motion prediction model for intersections with different geometries","author":"jaipuria","year":"2018","journal-title":"arXiv 1806 09444"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545447"},{"key":"ref25","article-title":"Auto-encoding variational bayes","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8932682\/08972605.pdf?arnumber=8972605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:32:33Z","timestamp":1651080753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8972605\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":36,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.2969925","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}