{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T12:00:28Z","timestamp":1774872028828,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2016,6,1]],"date-time":"2016-06-01T00:00:00Z","timestamp":1464739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1109\/tiv.2016.2615523","type":"journal-article","created":{"date-parts":[[2016,10,6]],"date-time":"2016-10-06T18:25:28Z","timestamp":1475778328000},"page":"167-176","source":"Crossref","is-referenced-by-count":31,"title":["Pushing the \u201cSpeed Limit\u201d: High-Accuracy US Traffic Sign Recognition With Convolutional Neural Networks"],"prefix":"10.1109","volume":"1","author":[{"given":"Yuan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Mogelmose","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohan Manubhai","family":"Trivedi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc ICLR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref31","author":"girshick","year":"2015"},{"key":"ref30","first-page":"233","article-title":"The relationship between precision-recall and ROC curves","author":"jesse","year":"0","journal-title":"Proc 23rd Int Conf Mach Learn"},{"key":"ref37","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref34","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2014.6957882"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2433019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2209421"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2300479"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2557977.2558090"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32717-9_48"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5120\/14655-2964"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2008.4621282"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-33453-8_6"},{"key":"ref19","article-title":"Modular traffic sign recognition\n applied to on-vehicle real-time visual detection of American and European speed limit signs","author":"moutarde","year":"2009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2409889"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2561262"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353874"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2571067"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref5","first-page":"83","article-title":"Embedded computing framework for vision-based\n real-time surround threat analysis and driver assistance","author":"lu","year":"0","journal-title":"Proc IEEE Conf Vis Pattern Recognit —Embedded Vis Workshop"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2016.7535512"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2015.473"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-48847-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2509509"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.36"},{"key":"ref20","article-title":"Are you talking to a machine? Dataset and methods for multilingual image question answering","author":"gao","year":"2015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-336156-1.50061-6"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref25","article-title":"Improving neural networks by preventing co-adaptation of\n feature detectors","author":"hinton","year":"2012"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/7769266\/07585032.pdf?arnumber=7585032","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:20:06Z","timestamp":1642004406000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7585032\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":37,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2016.2615523","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2016,6]]}}}