{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:21:37Z","timestamp":1783574497579,"version":"3.55.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CMMI-1739503"],"award-info":[{"award-number":["CMMI-1739503"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["ECCS-1839429"],"award-info":[{"award-number":["ECCS-1839429"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tits.2021.3074854","type":"journal-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T21:03:53Z","timestamp":1620162233000},"page":"7941-7951","source":"Crossref","is-referenced-by-count":105,"title":["Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8329-3299","authenticated-orcid":false,"given":"Shih-Yuan","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4974-1622","authenticated-orcid":false,"given":"Arnav Vaibhav","family":"Malawade","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7218-4545","authenticated-orcid":false,"given":"Deepan","family":"Muthirayan","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6634-6950","authenticated-orcid":false,"given":"Pramod P.","family":"Khargonekar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5390-0497","authenticated-orcid":false,"given":"Mohammad Abdullah Al","family":"Faruque","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"America\u2019s workforce and the self-driving future realizing productivity gains and spurring economic growth","author":"Mudge","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2578706"},{"key":"ref4","article-title":"This is how bad self-driving cars suck in rain","author":"Lavrinc","year":"2014"},{"key":"ref5","article-title":"Google\u2019s self-driving car caused its first crash","author":"Davies","journal-title":"Wired"},{"key":"ref6","volume-title":"Who\u2019s Responsible When an Autonomous car Crashes","author":"McFarland","year":"2016"},{"key":"ref7","article-title":"Autopilot was active when a tesla crashed into a truck, killing driver","author":"Lee","journal-title":"ARS Technica"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917362"},{"key":"ref9","article-title":"CARLA: An open urban driving simulator","author":"Dosovitskiy","year":"2017","journal-title":"arXiv:1711.03938"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917457"},{"key":"ref11","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv:1409.0473"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref13","first-page":"4202","article-title":"Understanding attention and generalization in graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Knyazev"},{"key":"ref14","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref15","first-page":"305","article-title":"Alvinn: An autonomous land vehicle in a neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Pomerleau"},{"key":"ref16","article-title":"End to end learning for self-driving cars","author":"Bojarski","year":"2016","journal-title":"arXiv:1604.07316"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1007\/BFb0036069","volume-title":"Robot Motion Planning Control","volume":"229","author":"Laumond","year":"1998"},{"key":"ref18","volume-title":"Machine Vision","volume":"5","author":"Jain","year":"1995"},{"key":"ref19","volume-title":"Vehicle Dynamics and Control","author":"Rajamani","year":"2011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2019.xv.031"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304822"},{"key":"ref24","article-title":"Learning 3D-aware egocentric spatial-temporal interaction via graph convolutional networks","author":"Li","year":"2019","journal-title":"arXiv:1909.09272"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341018"},{"key":"ref26","article-title":"Risk, hazard perception and perceived control","author":"Grayson","year":"2003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2004.11.003"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2011.942779"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569759"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.20965\/jrm.2020.p0503"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0001-4575(90)90063-Q"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2018.2843171"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.330"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_41"},{"key":"ref35","article-title":"Detectron2","author":"Wu","year":"2019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/0023-8333.50.s1.10"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref40","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv:1810.00826"},{"key":"ref41","article-title":"Graph U-Nets","author":"Gao","year":"2019","journal-title":"arXiv:1905.05178"},{"key":"ref42","article-title":"Self-attention graph pooling","author":"Lee","year":"2019","journal-title":"arXiv:1904.08082"},{"key":"ref43","article-title":"Pre-crash scenario typology for crash avoidance research","author":"Najm","year":"2007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00803"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/9781108924238.008"},{"key":"ref46","article-title":"Fast graph representation learning with PyTorch geometric","author":"Fey","year":"2019","journal-title":"arXiv:1903.02428"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.03.002"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6979\/9826234\/9423525-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9826234\/09423525.pdf?arnumber=9423525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:34:09Z","timestamp":1704843249000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9423525\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":47,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3074854","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}