{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:58:50Z","timestamp":1769821130776,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100015599","name":"Toyota Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015599","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/lra.2020.3004800","type":"journal-article","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T20:08:02Z","timestamp":1593115682000},"page":"5097-5104","source":"Crossref","is-referenced-by-count":12,"title":["Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6426-365X","authenticated-orcid":false,"given":"Igor","family":"Gilitschenski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9334-1706","authenticated-orcid":false,"given":"Guy","family":"Rosman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arjun","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2225-7275","authenticated-orcid":false,"given":"Sertac","family":"Karaman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5473-3566","authenticated-orcid":false,"given":"Daniela","family":"Rus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7011-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4760998"},{"key":"ref33","article-title":"Neural SLAM: Learning to explore with external memory","author":"zhang","year":"2017","journal-title":"arXiv 1706 09520"},{"key":"ref32","article-title":"Neural map: Structured memory for deep reinforcement learning","author":"parisotto","year":"2017","journal-title":"arXiv 1702 08360"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.769"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0278364916684382"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref36","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"0","journal-title":"Proc NeurIPS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_16"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00821"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569415"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989199"},{"key":"ref40","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":"ref12","article-title":"Multimodal interaction-aware motion prediction for autonomous street crossing","author":"radwan","year":"2018","journal-title":"arXiv 1808 06887"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461157"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232277"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.11.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2013.6728549"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_42"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460203"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460527"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref6","first-page":"257","article-title":"Model-based object tracking in monocular image sequences of road traffic scenes","volume":"10","author":"koller","year":"1993","journal-title":"Int J Comput 11263on"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00376"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s40648-014-0001-z"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref2","first-page":"137","article-title":"Social-BiGAT: multimodal trajectory forecasting using bicycle-GAN and graph attention networks","author":"kosaraju","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref9","article-title":"Human motion trajectory prediction: A survey","author":"rudenko","year":"2019","journal-title":"arXiv 1905 06113"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref20","article-title":"Context-aware pedestrian motion prediction in urban intersections","author":"habibi","year":"2018","journal-title":"arxiv 1806 09453"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_10"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1104-4"},{"key":"ref24","first-page":"201","article-title":"Activity forecasting","author":"kitani","year":"0","journal-title":"Proc Euro Conf Comput Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00135"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2719762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974393"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9133350\/09126143.pdf?arnumber=9126143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:33:43Z","timestamp":1651080823000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9126143\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":41,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.3004800","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}