{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:26:54Z","timestamp":1781375214345,"version":"3.54.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019201","name":"Honda Research Institute, USA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019201","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tiv.2022.3160861","type":"journal-article","created":{"date-parts":[[2022,3,22]],"date-time":"2022-03-22T19:47:44Z","timestamp":1647978464000},"page":"3154-3165","source":"Crossref","is-referenced-by-count":29,"title":["Unsupervised Scalable Multimodal Driving Anomaly Detection"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6377-229X","authenticated-orcid":false,"given":"Yuning","family":"Qiu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6398-9245","authenticated-orcid":false,"given":"Teruhisa","family":"Misu","sequence":"additional","affiliation":[{"name":"Honda Research Institute USA, Inc., San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4075-4072","authenticated-orcid":false,"given":"Carlos","family":"Busso","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2431293"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2014.6958194"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50758-3_11"},{"key":"ref14","first-page":"1902","article-title":"Dangerous driving behavior detection using smartphone sensors","author":"li","year":"0","journal-title":"Proc IEEE Int Conf Intell Transp Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917198"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSensT.2013.6727671"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00803"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2187640"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569250"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2055239"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2975043"},{"key":"ref19","first-page":"460","article-title":"Sriving style recognition using fuzzy logic","author":"aljaafreh","year":"0","journal-title":"Proc IEEE Int Conf Veh Electron Saf"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IConSpace.2011.6015840"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3037496"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.450"},{"key":"ref46","first-page":"33","article-title":"TadGAN:Time series anomaly detection using generative adversarial networks","author":"geiger","year":"0","journal-title":"Proc IEEE Int Conf Big Data"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30490-4_56"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_39"},{"key":"ref47","article-title":"Real-valued (medical) time series generation with recurrent conditional GANs","author":"hyland","year":"2017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2973398"},{"key":"ref41","first-page":"1","article-title":"When, where, and what? A new dataset for anomaly detection in driving videos","author":"yao","year":"2020"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00589"},{"key":"ref43","first-page":"2672","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","article-title":"Efficient GAN-based anomaly detection","author":"zenati","year":"2018"},{"key":"ref8","first-page":"524","article-title":"D3: Abnormal driving behaviors detection and identification using smartphone sensors","author":"chen","year":"0","journal-title":"Proc IEEE Int Conf Sensing Commun Netw"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557321"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2618873"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4108\/ICST.PERVASIVEHEALTH2010.8901"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/7967249"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2013.484"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232298"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967556"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2013.6607575"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3141071"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917213"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2985536"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2241416"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/616"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1515\/9783110669787-008"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795971"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CIS-RAM47153.2019.9095790"},{"key":"ref1","first-page":"323","article-title":"Nericell: Rich monitoring of road and traffic conditions using mobile smartphones","author":"mohan","year":"0","journal-title":"Proc ACM Conf Embedded Netw Sensor Syst"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2700628"},{"key":"ref38","first-page":"91","article-title":"Driver anomaly detection: A dataset and contrastive learning approach","author":"k\u00f6p\u00fckl\u00fc","year":"0","journal-title":"Proc IEEE\/CVF Winter Conf Appl Comput Vis Virtual Conf"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES.2018.8639398"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2532354"},{"key":"ref26","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","article-title":"Driving anomaly detection using conditional generative adversarial network","author":"qiu","year":"2022"},{"key":"ref20","first-page":"398","article-title":"Sober-drive: A smartphone-assisted drowsy driving detection system","author":"xu","year":"0","journal-title":"Proc Int Conf Comput Netw Commun"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2674661"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2016.7844924"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3340555.3353749"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294562"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/10130133\/09739951.pdf?arnumber=9739951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:24:53Z","timestamp":1686594293000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9739951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":56,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2022.3160861","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}