{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T17:43:24Z","timestamp":1772559804328,"version":"3.50.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972027"],"award-info":[{"award-number":["61972027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Beijing Municipal Natural Science Foundation","doi-asserted-by":"publisher","award":["4212041"],"award-info":[{"award-number":["4212041"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tits.2022.3145018","type":"journal-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:38:26Z","timestamp":1643747906000},"page":"15673-15683","source":"Crossref","is-referenced-by-count":23,"title":["Fast-HBNet: Hybrid Branch Network for Fast Lane Detection"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9887-511X","authenticated-orcid":false,"given":"Guilin","family":"Pang","sequence":"first","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2592-2354","authenticated-orcid":false,"given":"Baopeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1754-4878","authenticated-orcid":false,"given":"Zhu","family":"Teng","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9544-0348","authenticated-orcid":false,"given":"Nan","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Robotics, Beijing Union University, Beijing, China"}]},{"given":"Jianping","family":"Fan","sequence":"additional","affiliation":[{"name":"AI Laboratory, Lenovo Research, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107889"},{"key":"ref2","article-title":"Fast-SCNN: Fast semantic segmentation network","author":"Poudel","year":"2019","journal-title":"arXiv:1902.04502"},{"key":"ref3","article-title":"BiSeNet v2: Bilateral network with guided aggregation for real-time semantic segmentation","author":"Yu","year":"2020","journal-title":"arXiv:2004.02147"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.12"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500547"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00110"},{"key":"ref9","volume-title":"Tusimple Benchmark","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12301"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2011.07.019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2013.6629593"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.908582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2008.4621152"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2010.5548021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2013.6629645"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2009.5164253"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2586187"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref21","article-title":"Learning to fuse things and stuff","author":"Li","year":"2018","journal-title":"arXiv:1812.01192"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00719"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2801309"},{"key":"ref25","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"Paszke","year":"2016","journal-title":"arXiv:1606.02147"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11009-3_15"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2971728"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2983077"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref30","article-title":"Deep learning using rectified linear units (ReLU)","author":"Agarap","year":"2018","journal-title":"arXiv:1803.08375"},{"key":"ref31","article-title":"DetectoRS: Detecting objects with recursive feature pyramid and switchable atrous convolution","author":"Qiao","year":"2020","journal-title":"arXiv:2006.02334"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460952"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3039675"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_17"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9893028\/09700773.pdf?arnumber=9700773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:07:58Z","timestamp":1705532878000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9700773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":36,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tits.2022.3145018","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}