{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T01:01:33Z","timestamp":1794013293919,"version":"4.8.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"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":[[2024,5,13]]},"DOI":"10.1109\/icra57147.2024.10610550","type":"proceedings-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T17:51:05Z","timestamp":1723139465000},"page":"6806-6812","source":"Crossref","is-referenced-by-count":61,"title":["DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving"],"prefix":"10.1109","author":[{"given":"Zhiyu","family":"Huang","sequence":"first","affiliation":[{"name":"Nanyang Technological University,School of Mechanical and Aerospace Engineering,Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Karkus","sequence":"additional","affiliation":[{"name":"NVIDIA Corporation,NVIDIA Research,Santa Clara,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boris","family":"Ivanovic","sequence":"additional","affiliation":[{"name":"NVIDIA Corporation,NVIDIA Research,Santa Clara,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiao","family":"Chen","sequence":"additional","affiliation":[{"name":"NVIDIA Corporation,NVIDIA Research,Santa Clara,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Pavone","sequence":"additional","affiliation":[{"name":"NVIDIA Corporation,NVIDIA Research,Santa Clara,CA,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Lv","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Mechanical and Aerospace Engineering,Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161419"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3191241"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3088935"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3005126"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3254579"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561967"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_36"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_40"},{"key":"ref9","article-title":"Scene transformer: A unified architecture for predicting future trajectories of multiple agents","volume-title":"International Conference on Learning Representations","author":"Ngiam"},{"key":"ref10","article-title":"Nuplan: A closed-loop mlbased planning benchmark for autonomous vehicles","volume-title":"CVPR ADP3 workshop","author":"Caesar"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812060"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3146300"},{"key":"ref13","article-title":"Motion transformer with global intention localization and local movement refinement","author":"Shi","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00361"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00930"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01713"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3352811"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC57777.2023.10422695"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981524"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00967"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103500"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139555"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341371"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340636"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917722396"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160449"},{"key":"ref27","article-title":"Rethinking integration of prediction and planning in deep learning-based automated driving systems: a review","author":"Hagedorn","year":"2023"},{"key":"ref28","first-page":"718","article-title":"Urban driver: Learning to drive from real-world demonstrations using policy gradients","volume-title":"Conference on Robot Learning","author":"Scheel"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811576"},{"key":"ref30","first-page":"2243","article-title":"Mats: An interpretable trajectory forecasting representation for planning and control","volume-title":"Conference on Robot Learning","author":"Ivanovic"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3283542"},{"key":"ref32","first-page":"2170","article-title":"Diffstack: A differentiable and modular control stack for autonomous vehicles","volume-title":"Conference on Robot Learning","author":"Karkus"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160609"},{"key":"ref34","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume-title":"AAAI","volume":"8","author":"Ziebart","year":"2008"},{"key":"ref35","article-title":"Parting with misconceptions about learning-based vehicle motion planning","author":"Dauner","year":"2023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/21m1406477"}],"event":{"name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","location":"Yokohama, Japan","start":{"date-parts":[[2024,5,13]]},"end":{"date-parts":[[2024,5,17]]}},"container-title":["2024 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10609961\/10609862\/10610550.pdf?arnumber=10610550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:20:33Z","timestamp":1723267233000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10610550\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/icra57147.2024.10610550","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]}}}