{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T15:23:11Z","timestamp":1784906591836,"version":"3.55.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"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":[[2021,4]]},"DOI":"10.1109\/lra.2021.3062807","type":"journal-article","created":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T21:35:07Z","timestamp":1614634507000},"page":"3459-3466","source":"Crossref","is-referenced-by-count":51,"title":["Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2565-9883","authenticated-orcid":false,"given":"Xiao","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9334-1706","authenticated-orcid":false,"given":"Guy","family":"Rosman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6426-365X","authenticated-orcid":false,"given":"Igor","family":"Gilitschenski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1132-1462","authenticated-orcid":false,"given":"Cristian-Ioan","family":"Vasile","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0933-9671","authenticated-orcid":false,"given":"Jonathan A.","family":"DeCastro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2225-7275","authenticated-orcid":false,"given":"Sertac","family":"Karaman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5473-3566","authenticated-orcid":false,"given":"Daniela","family":"Rus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500493"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref31","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814167"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref10","article-title":"On a formal model of safe and scalable self-driving cars","author":"shalev-shwartz","year":"2017"},{"key":"ref11","article-title":"Illinois rules of the road","author":"white","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2014.7039363"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15297-9_9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3004794"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403283"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/557"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.031"},{"key":"ref4","first-page":"3960","article-title":"GRIP : Enhanced graph-based interaction-aware trajectory prediction for autonomous driving","author":"li","year":"0","journal-title":"Proc IEEE Intell Transp Syst Conf"},{"key":"ref27","first-page":"1005","article-title":"Inferring task goals and constraints using bayesian nonparametric inverse reinforcement learning","author":"park","year":"0","journal-title":"Proc Conf Robot Learn"},{"key":"ref3","article-title":"Social-WaGDAT: Interaction-aware trajectory prediction via wasserstein graph double-attention network","author":"li","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793568"},{"key":"ref5","article-title":"Trajectron : Multi-agent generative trajectory forecasting with heterogeneous data for control","author":"salzmann","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794282"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00731"},{"key":"ref1","article-title":"Deep learning-based vehicle behaviour prediction for autonomous driving applications: A review","author":"mozaffari","year":"2019"},{"key":"ref20","article-title":"Model-based reinforcement learning from signal temporal logic specifications","author":"kapoor","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9028919"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794364"},{"key":"ref23","article-title":"Back-propagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods","author":"leung","year":"2020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813875"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989177"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9285111\/09366373.pdf?arnumber=9366373","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:22Z","timestamp":1652194462000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9366373\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2021.3062807","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}