{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:56:57Z","timestamp":1764784617452,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"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":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9340754","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T10:49:56Z","timestamp":1615805396000},"page":"2211-2218","source":"Crossref","is-referenced-by-count":3,"title":["SSP: Single Shot Future Trajectory Prediction"],"prefix":"10.1109","author":[{"given":"Isht","family":"Dwivedi","sequence":"first","affiliation":[{"name":"Honda Research Institute USA,San Jose,CA,USA,95134"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srikanth","family":"Malla","sequence":"additional","affiliation":[{"name":"Honda Research Institute USA,San Jose,CA,USA,95134"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Behzad","family":"Dariush","sequence":"additional","affiliation":[{"name":"Honda Research Institute USA,San Jose,CA,USA,95134"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chiho","family":"Choi","sequence":"additional","affiliation":[{"name":"Honda Research Institute USA,San Jose,CA,USA,95134"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref32","first-page":"549","article-title":"Learning social etiquette: Human trajectory understanding in crowded scenes","author":"robicquet","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"ref34","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref11","first-page":"151","article-title":"Car-net: Clairvoyant attentive recurrent network","author":"sadeghian","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794474"},{"article-title":"Nemo: Future object localization using noisy ego priors","year":"2019","author":"malla","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00246"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01120"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00792"},{"key":"ref18","first-page":"0","article-title":"Convolutional neural network for trajectory prediction","author":"nikhil","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref19","article-title":"Potential field: Interpretable and unified representation for trajectory prediction","author":"su","year":"2019","journal-title":"arXiv preprint arXiv 1911 12945"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00034"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00135"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-46466-9_18"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00101"},{"key":"ref22","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref21","article-title":"Shared cross-modal trajectory prediction for autonomous driving","author":"choi","year":"2020","journal-title":"arXiv preprint arXiv 2004 06774"},{"key":"ref24","first-page":"269","article-title":"Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model","author":"papandreou","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref23","first-page":"64","article-title":"Unsupervised learning for physical interaction through video prediction","author":"finn","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00119"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01225"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2020,10,24]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09340754.pdf?arnumber=9340754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:56:58Z","timestamp":1656439018000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9340754\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9340754","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}