{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:31:25Z","timestamp":1750221085943,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T00:00:00Z","timestamp":1529625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,22]]},"DOI":"10.1145\/3234664.3234684","type":"proceedings-article","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T12:17:05Z","timestamp":1540297025000},"page":"24-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["White Lane Detection Using Semantic Segmentation"],"prefix":"10.1145","author":[{"given":"Akinori","family":"Adachi","sequence":"first","affiliation":[{"name":"Intelligent Systems Laboratory, Sophia University, Kioicho, Chiyoda-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tad","family":"Gonsalves","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory, Sophia University, Kioicho, Chiyoda-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,6,22]]},"reference":[{"volume-title":"2010 IEEE Intelligent Vehicles Symposium University of California","author":"Sivaraman S.","key":"e_1_3_2_1_1_1","unstructured":"S. Sivaraman and M. Trivedi . 2010. Improved vision-based lane tracker performance using vehicle localization . 2010 IEEE Intelligent Vehicles Symposium University of California , San Diego, CA, USA. S. Sivaraman and M. Trivedi. 2010. Improved vision-based lane tracker performance using vehicle localization. 2010 IEEE Intelligent Vehicles Symposium University of California, San Diego, CA, USA."},{"key":"e_1_3_2_1_2_1","volume-title":"Intelligent Vehicles Symposium Gothenburg, Sweden.","author":"Guo C.","year":"2016","unstructured":"C. Guo , K. Kidono and J, Ogawa. 2016 . Learning-based Trajectory Generation for Intelligent Vehicles in Urban Environment. IEEE , Intelligent Vehicles Symposium Gothenburg, Sweden. C. Guo, K. Kidono and J, Ogawa. 2016. Learning-based Trajectory Generation for Intelligent Vehicles in Urban Environment. IEEE, Intelligent Vehicles Symposium Gothenburg, Sweden."},{"volume-title":"Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems Vienna, Austria.","author":"Polychronopoulos A.","key":"e_1_3_2_1_3_1","unstructured":"A. Polychronopoulos , M. Tsogas , A. Amditis and A. Etemad . 2005. Extended path prediction using camera and map data for lane keeping support . Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems Vienna, Austria. A. Polychronopoulos, M. Tsogas, A. Amditis and A. Etemad. 2005. Extended path prediction using camera and map data for lane keeping support. Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems Vienna, Austria."},{"key":"e_1_3_2_1_4_1","volume-title":"Shelhamer and Trevor Darrel","author":"Long J.","year":"2014","unstructured":"J. Long , E. Shelhamer and Trevor Darrel . 2014 . Fully convolutional network for semantic segmentation. arXiv:1411.4038. J. Long, E. Shelhamer and Trevor Darrel. 2014. Fully convolutional network for semantic segmentation. arXiv:1411.4038."},{"key":"e_1_3_2_1_5_1","volume-title":"kendall, and R. Cipolla","author":"Badrinarayanan V.","year":"2016","unstructured":"V. Badrinarayanan , A. kendall, and R. Cipolla . 2016 . SegNet : A deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561. V. Badrinarayanan, A. kendall, and R. Cipolla. 2016. SegNet: A deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561."},{"key":"e_1_3_2_1_6_1","unstructured":"\"SegNet -- Machine Intelligence Laboratory -- University of Cambridge\" <http:\/\/mi.eng.cam.ac.uk\/projects\/segnet\/> (1 May 2018).  \"SegNet -- Machine Intelligence Laboratory -- University of Cambridge\" <http:\/\/mi.eng.cam.ac.uk\/projects\/segnet\/> (1 May 2018)."},{"key":"e_1_3_2_1_7_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. arXiv:1505.04597.","author":"Ronneberger O.","year":"2015","unstructured":"O. Ronneberger , P. Fischer , and T. Brox . 2015 . U-net: Convolutional networks for biomedical image segmentation. arXiv:1505.04597. O. Ronneberger, P. Fischer, and T. Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. arXiv:1505.04597."},{"volume-title":"IEEE Intelligent Transportation Systems Conference(ITSC2014)","author":"Mogelmose A.","key":"e_1_3_2_1_8_1","unstructured":"A. Mogelmose , D. Liu , and M. Trivedi . 2014. Traffic sign detection for U.S. roads: remaining challenges and a case for tracking . IEEE Intelligent Transportation Systems Conference(ITSC2014) . A. Mogelmose, D. Liu, and M. Trivedi. 2014. Traffic sign detection for U.S. roads: remaining challenges and a case for tracking. IEEE Intelligent Transportation Systems Conference(ITSC2014)."}],"event":{"name":"HPCCT 2018: 2018 2nd High Performance Computing and Cluster Technologies Conference","sponsor":["Shanghai Jiao Tong University Shanghai Jiao Tong University","Xi'an Jiaotong-Liverpool University Xi'an Jiaotong-Liverpool University","Chinese Academy of Sciences"],"location":"Beijing China","acronym":"HPCCT 2018"},"container-title":["Proceedings of the 2018 2nd High Performance Computing and Cluster Technologies Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3234664.3234684","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3234664.3234684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:48Z","timestamp":1750208268000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3234664.3234684"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,22]]},"references-count":8,"alternative-id":["10.1145\/3234664.3234684","10.1145\/3234664"],"URL":"https:\/\/doi.org\/10.1145\/3234664.3234684","relation":{},"subject":[],"published":{"date-parts":[[2018,6,22]]},"assertion":[{"value":"2018-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}