{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T13:49:57Z","timestamp":1778075397660,"version":"3.51.4"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icra40945.2020.9197434","type":"proceedings-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T21:25:46Z","timestamp":1600205146000},"page":"3277-3283","source":"Crossref","is-referenced-by-count":47,"title":["Intent-Aware Pedestrian Prediction for Adaptive Crowd Navigation"],"prefix":"10.1109","author":[{"given":"Kapil D.","family":"Katyal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory D.","family":"Hager","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien-Ming","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.388"},{"key":"ref32","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref31","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","volume":"48","author":"gal","year":"0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970319"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/17"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793500"},{"key":"ref10","article-title":"Uncertaintyaware reinforcement learning for collision avoidance","volume":"abs 1702 1182","author":"kahn","year":"2017","journal-title":"ArXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487409"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CIRA.2001.1013236"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2008.4621210"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2009.5164400"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2008.2012116"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509779"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2017.8227412"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref19","article-title":"Sophie: An attentive GAN for predicting paths compliant to social and physical constraints","volume":"abs 1806 1482","author":"sadeghian","year":"2018","journal-title":"CoRR"},{"key":"ref28","first-page":"285","article-title":"Decentralized noncommunicating multiagent collision avoidance with deep reinforcement learning","author":"chen","year":"2017"},{"key":"ref4","first-page":"3","volume":"70","author":"van den berg","year":"2011","journal-title":"Reciprocal N-body Collision Avoidance"},{"key":"ref27","article-title":"Openai gym","volume":"abs 1606 1540","author":"brockman","year":"2016","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2008.4543489"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-013-9334-3"},{"key":"ref29","first-page":"1871","article-title":"Liblinear: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980306"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593871"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915619772"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989199"},{"key":"ref9","article-title":"Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning","author":"chen","year":"2018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2013.05.007"},{"key":"ref20","first-page":"1941","article-title":"Context-aware trajectory prediction","author":"bartoli","year":"2017","journal-title":"2018 24th International Conference on Pattern Recognition (ICPR)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463211"},{"key":"ref21","article-title":"Human motion trajectory prediction: A survey","volume":"abs 1905 6113","author":"rudenko","year":"2019","journal-title":"ArXiv"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1007\/978-3-642-15549-9_33","article-title":"Improving data association by joint modeling of pedestrian trajectories and groupings","author":"pellegrini","year":"2010","journal-title":"Computer Vision &#x2013; ECCV 2010"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"}],"event":{"name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","location":"Paris, France","start":{"date-parts":[[2020,5,31]]},"end":{"date-parts":[[2020,8,31]]}},"container-title":["2020 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9187508\/9196508\/09197434.pdf?arnumber=9197434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:08:30Z","timestamp":1656374910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9197434\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icra40945.2020.9197434","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}