{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T20:12:41Z","timestamp":1777407161547,"version":"3.51.4"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9340921","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:49:56Z","timestamp":1615819796000},"page":"2014-2019","source":"Crossref","is-referenced-by-count":29,"title":["Real-time Detection of Distracted Driving using Dual Cameras"],"prefix":"10.1109","author":[{"given":"Duy","family":"Tran","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering,Stillwater,OK,USA,74078"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ha Manh","family":"Do","sequence":"additional","affiliation":[{"name":"Colorado State University-Pueblo,Communities to Build Active STEM Engagement (CBASE) and the Department of Engineering,Pueblo,CO,USA,81001"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxing","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering,Stillwater,OK,USA,74078"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihua","family":"Sheng","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering,Stillwater,OK,USA,74078"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.10.IMAWM-162"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref31","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","article-title":"A survey of model compression and acceleration for deep neural networks","author":"cheng","year":"2017","journal-title":"arXiv preprint arXiv 1710 09282"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOTEH.2018.8345545"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2004.830974"},{"key":"ref11","article-title":"Driving simulator experiment: Detecting driver fatigue by monitoring eye and steering activity","author":"eskandarian","year":"2003","journal-title":"Proceeding of Annual Intelligent Vehicles Systems Symposium"},{"key":"ref12","first-page":"35","article-title":"Analysis of driver impairment, fatigue, and drowsiness and an unobtrusive vehicle-based detection scheme","author":"eskandarian","year":"2005","journal-title":"Proceedings of the 1st International Conference on Traffic Accidents"},{"key":"ref13","year":"0","journal-title":"State farm distracted driver detection"},{"key":"ref14","article-title":"Classification of driver distraction","author":"colbran","year":"2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66471-2_19"},{"key":"ref16","article-title":"Real-time distracted driver posture classification","author":"abouelnaga","year":"2017","journal-title":"arXiv preprint arXiv 1706 09498"},{"key":"ref17","article-title":"Cognitive deep machine can train itself","author":"l?rincz","year":"2016","journal-title":"arXiv preprint arXiv 1612 00745"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BIGCOMP.2016.7425813"},{"key":"ref19","article-title":"Deep head pose estimation from depth data for in-car automotive applications","author":"venturelli","year":"2017","journal-title":"arXiv preprint arXiv 1703 01883"},{"key":"ref28","article-title":"Research driving simulator","year":"0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IIH-MSP.2009.186"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2018.5172"},{"key":"ref3","year":"0","journal-title":"100 Distracted Driving Facts & Statistics for 2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/432634"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref5","article-title":"Driver distraction detection and recognition using RGB-D sensor","volume":"abs 1502 250","author":"craye","year":"2015","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2007.4379556"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.895298"},{"key":"ref2","year":"0","journal-title":"Distracted Driving"},{"key":"ref9","first-page":"ii?870","article-title":"Facial event classification with task oriented dynamic bayesian network","volume":"2","author":"gu","year":"2004","journal-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR"},{"key":"ref1","year":"0","journal-title":"Traffic safety facts"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2670560"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806222"},{"key":"ref24","first-page":"5648","article-title":"Volumetric and multi-view cnns for object classification on 3d data","author":"qi","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref23","first-page":"945","article-title":"Multi-view convolutional neural networks for 3d shape recognition","author":"su","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref25","article-title":"Shrec?16 track large-scale 3d shape retrieval from shapenet core55","author":"savva","year":"2016","journal-title":"Proceedings of the Eurographics Workshop on 3D Object Retrieval"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2020,10,24]]},"end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09340921.pdf?arnumber=9340921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:51:21Z","timestamp":1656453081000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9340921\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9340921","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}