{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T08:15:28Z","timestamp":1763367328475,"version":"build-2065373602"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["CPS-1544814"],"award-info":[{"award-number":["CPS-1544814"]}]},{"name":"Funai Foundation for Information Technology"},{"name":"Ito Foundation USA-FUTI Scholarship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/tiv.2019.2919476","type":"journal-article","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T19:48:05Z","timestamp":1559072885000},"page":"497-506","source":"Crossref","is-referenced-by-count":19,"title":["Vision-Based Autonomous Path Following Using a Human Driver Control Model With Reliable Input-Feature Value Estimation"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4222-8356","authenticated-orcid":false,"given":"Kazuhide","family":"Okamoto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Itti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7563-4129","authenticated-orcid":false,"given":"Panagiotis","family":"Tsiotras","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2005.855922"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1117\/12.389351"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.1996.495891"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/369742a0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-010-0289-5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383337"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317873"},{"article-title":"Dynamic Bayesian networks: Representation, inference and learning","year":"2002","author":"murphy","key":"ref34"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2009.5346350"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1068\/p5343"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2016.7844510"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcon.2015.04.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40648-014-0001-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20276"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/1416145"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759328"},{"key":"ref24","first-page":"6778","article-title":"Modeling of human driver behavior via receding horizon and artificial neural network controllers","author":"wei","year":"2013","journal-title":"Proc IEEE Annu Conf Decis Control"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016890"},{"journal-title":"Modeling Driver Behavior in Automotive Environments Critical Issues in Driver Interactions With Intelligent Transport Systems","year":"2007","author":"cacciabue","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2014.6858867"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2727547"},{"year":"2017","key":"ref51","article-title":"Unity3D"},{"key":"ref57","article-title":"Technical report on the cleverhans v2.1.0 adversarial examples library","author":"papernot","year":"2018","journal-title":"arXiv 1610 00768"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref55","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"International Conference on Learning Representations"},{"article-title":"Intriguing properties of neural networks","year":"2013","author":"szegedy","key":"ref54"},{"key":"ref53","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"0","journal-title":"Proc Int Conf Knowl Discovery Data Mining"},{"key":"ref52","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc USENIX Symp Operat Syst Des Implement"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.88"},{"key":"ref11","first-page":"1","article-title":"Off-road obstacle avoidance through end-to-end learning","author":"lecun","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.4271\/2000-01-0349"},{"article-title":"End to end learning for self-driving cars","year":"2016","author":"bojarski","key":"ref12"},{"key":"ref13","first-page":"1","article-title":"Driving like a human: Imitation learning for path planning using convolutional neural networks","author":"rehder","year":"2017","journal-title":"Proc IEEE Int Conf Robot Autom Workshop"},{"key":"ref14","first-page":"4565","article-title":"Generative adversarial imitation learning","author":"ho","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.320"},{"article-title":"Simultaneous perception and path generation using fully convolutional neural networks","year":"2017","author":"caltagirone","key":"ref18"},{"key":"ref19","first-page":"133","article-title":"Aggressive deep driving: Model predictive control with a CNN cost model","author":"drews","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2578706"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2016.7535408"},{"key":"ref5","article-title":"An empirical evaluation of deep learning on highway driving","author":"huval","year":"2015","journal-title":"arXiv 1504 01716"},{"key":"ref8","article-title":"Shallow networks for high-accuracy road object-detection","author":"ashraf","year":"2016","journal-title":"arXiv 1606 01561"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref49","first-page":"1215","article-title":"Driver parameter estimation using joint E-\/UKF and dual E-\/UKF under nonlinear state inequality constraints","author":"you","year":"2016","journal-title":"Proc Int Conf Syst Man Cybern"},{"key":"ref9","first-page":"305","article-title":"Alvinn: An autonomous land vehicle in a neural network","author":"pomerleau","year":"1989","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/978-3-319-66709-6_2","article-title":"Deep learning for vanishing point detection using an inverse gnomonic projection","author":"kluger","year":"2017","journal-title":"Proc German Conf Pattern Recognit"},{"key":"ref47","first-page":"4496","article-title":"Deep VP: Deep learning for vanishing point detection on 1 million street view images","author":"chang","year":"2018","journal-title":"Proc Int Conf Robot Autom"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2018.8431446"},{"key":"ref41","first-page":"117","article-title":"Prediction of driving behavior through probabilistic inference","author":"kumagai","year":"2003","journal-title":"Proc Conf Eng Appl Neural Networks"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ASSPCC.2000.882463"},{"journal-title":"Probabilistic Robotics","year":"2005","author":"thrun","key":"ref43"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/7274857\/8813110\/8723597-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/8813110\/08723597.pdf?arnumber=8723597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:13:48Z","timestamp":1657746828000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8723597\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":57,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2019.2919476","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"type":"electronic","value":"2379-8904"},{"type":"print","value":"2379-8858"}],"subject":[],"published":{"date-parts":[[2019,9]]}}}