{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T17:10:53Z","timestamp":1758042653577,"version":"3.44.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/iros40897.2019.8968553","type":"proceedings-article","created":{"date-parts":[[2020,1,30]],"date-time":"2020-01-30T23:53:51Z","timestamp":1580428431000},"page":"942-949","source":"Crossref","is-referenced-by-count":30,"title":["INFER: INtermediate representations for FuturE pRediction"],"prefix":"10.1109","author":[{"given":"Shashank","family":"Srikanth","sequence":"first","affiliation":[{"name":"IIIT,Robotics Research Center, KCIS,Hyderabad,India"}]},{"given":"Junaid Ahmed","family":"Ansari","sequence":"additional","affiliation":[{"name":"IIIT,Robotics Research Center, KCIS,Hyderabad,India"}]},{"given":"R. Karnik","family":"Ram","sequence":"additional","affiliation":[{"name":"IIIT,Robotics Research Center, KCIS,Hyderabad,India"}]},{"given":"Sarthak","family":"Sharma","sequence":"additional","affiliation":[{"name":"IIIT,Robotics Research Center, KCIS,Hyderabad,India"}]},{"given":"J. Krishna","family":"Murthy","sequence":"additional","affiliation":[{"name":"Mila - Quebec AI Institute,Montreal,Canada"}]},{"given":"K. Madhava","family":"Krishna","sequence":"additional","affiliation":[{"name":"IIIT,Robotics Research Center, KCIS,Hyderabad,India"}]}],"member":"263","reference":[{"key":"ref30","article-title":"Multi-class multi-object tracking using changing point detection","author":"lee","year":"2016","journal-title":"ECCV"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2009.2029643"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2158097"},{"key":"ref12","article-title":"Activity forecasting","author":"kitani","year":"2012","journal-title":"ECCV"},{"key":"ref13","article-title":"Learning social etiquette: Human trajectory understanding in crowded scenes","author":"robicquet","year":"2016","journal-title":"ECCV"},{"key":"ref14","article-title":"Socially aware kalman neural networks for trajectory prediction","author":"ju","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref15","article-title":"Car-net: Clairvoyant attentive recurrent network","author":"sadeghian","year":"2018","journal-title":"ECCV"},{"journal-title":"Using deep learning to predict obstacle trajectories for collision avoidance in autonomous vehicles","year":"2017","author":"virdi","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500493"},{"key":"ref19","article-title":"Us highway 101 dataset","author":"colyar","year":"2007","journal-title":"Federal Highway Administration (FHWA) Tech Rep FHWA-HRT-07-030"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487409"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"journal-title":"Planet dump retrieved from https \/\/planet osm org","year":"2017","key":"ref27"},{"key":"ref3","article-title":"1 year, 1000km: The oxford robotcar dataset","author":"maddern","year":"2017","journal-title":"IJRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"journal-title":"Probabilistic Robotics","year":"2005","author":"thrun","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451830"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500658"},{"key":"ref7","article-title":"Sophie: An attentive gan for predicting paths compliant to social and physical constraints","author":"sadeghian","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref20","article-title":"Freeway traffic shockwave analysis: exploring the ngsim trajectory data","author":"lu","year":"2007","journal-title":"86th Annual Meeting of the Transportation Research Board"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317943"},{"key":"ref24","article-title":"In-place activated batch-norm for memory-optimized training of dnns","author":"bul\u00f2","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref23","article-title":"High-speed tracking-by-detection without using image information","author":"bochinski","year":"2017","journal-title":"International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS"},{"key":"ref26","article-title":"Learning to look around objects for top-view representations of outdoor scenes","author":"schulter","year":"2018","journal-title":"ECCV"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00567"}],"event":{"name":"2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2019,11,3]]},"location":"Macau, China","end":{"date-parts":[[2019,11,8]]}},"container-title":["2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8957008\/8967518\/08968553.pdf?arnumber=8968553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T17:29:51Z","timestamp":1757611791000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8968553\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/iros40897.2019.8968553","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}