{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T15:37:49Z","timestamp":1785512269703,"version":"3.56.0"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872277"],"award-info":[{"award-number":["61872277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773414"],"award-info":[{"award-number":["61773414"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41571437"],"award-info":[{"award-number":["41571437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2018CFB482"],"award-info":[{"award-number":["2018CFB482"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822207"],"award-info":[{"award-number":["61822207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1636219"],"award-info":[{"award-number":["U1636219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Equipment Pre-Research Joint Fund of Ministry of Education of China","award":["6141A02033327"],"award-info":[{"award-number":["6141A02033327"]}]},{"name":"Outstanding Youth Foundation of Hubei Province","award":["2017CFA047"],"award-info":[{"award-number":["2017CFA047"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2042019kf0210"],"award-info":[{"award-number":["2042019kf0210"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1109\/tvt.2019.2949603","type":"journal-article","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T20:02:32Z","timestamp":1572033752000},"page":"41-54","source":"Crossref","is-referenced-by-count":341,"title":["Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7955-0782","authenticated-orcid":false,"given":"Qin","family":"Zou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanwen","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4659-2438","authenticated-orcid":false,"given":"Qiyu","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanhao","family":"Yue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4925-0572","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8967-8525","authenticated-orcid":false,"given":"Qian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2822762"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2682280"},{"key":"ref39","first-page":"189","article-title":"Finding and tracking road lanes using line-snakes","author":"kang","year":"0","journal-title":"Proc IEEE Intell Vehicles Symp"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2009.2018328"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.838221"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596304"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICIRT.2016.7588744"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2010.5548087"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2009.2027223"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.908583"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2513228.2513280"},{"key":"ref34","first-page":"51","article-title":"Lane detection using Catmull-Rom spline","author":"wang","year":"0","journal-title":"Proc IEEE Intell Vehicles Symp"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.619"},{"key":"ref62","article-title":"Anomaly detection in video using predictive convolutional long short-term memory networks","author":"medel","year":"2016"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_44"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2008.4621152"},{"key":"ref63","first-page":"1","article-title":"Decomposing motion and content for natural video sequence prediction","author":"villegas","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2013.2281199"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.10.016"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.12"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869595"},{"key":"ref66","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref68","article-title":"Rethinking ImageNet pre-training","author":"he","year":"2018"},{"key":"ref69","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800477"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2854406"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878966"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2010.5548090"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2842771"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2522968.2522970"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-011-0404-2"},{"key":"ref50","first-page":"1041","article-title":"Accurate and robust lane detection based on dual-view convolutional neutral network","author":"he","year":"0","journal-title":"Proc IEEE Intell Vehicles Symp"},{"key":"ref51","first-page":"2475","article-title":"Lane marking detection based on convolution neural network from point clouds","author":"he","year":"0","journal-title":"Proc IEEE Int Conf Intell Transp Syst"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.480"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_36"},{"key":"ref57","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"shi","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref56","article-title":"El-GAN: Embedding loss driven generative adversarial networks for lane detection","author":"ghafoorian","year":"2018"},{"key":"ref55","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref54","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12301","article-title":"Spatial as deep: Spatial CNN for traffic scene understanding","author":"pan","year":"2018"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.90"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.12"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92007-8_13"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2939713"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5413980"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2819673"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref16","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2913079"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2929957"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946584"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2003.10.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2013.6629645"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88693-8_54"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2522428"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2016.12.002"},{"key":"ref49","article-title":"An empirical evaluation of deep learning on highway driving","author":"huval","year":"2015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.215"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.158"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2013.12.008"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460952"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500547"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2641798.2641807"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2006.1689686"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2009.5164253"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6083016"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/8961346\/08883072.pdf?arnumber=8883072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,2]],"date-time":"2022-10-02T17:28:14Z","timestamp":1664731694000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8883072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":71,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2019.2949603","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]}}}