{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T16:26:45Z","timestamp":1764174405469,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,7]],"date-time":"2017-11-07T00:00:00Z","timestamp":1510012800000},"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":[[2017,11,7]]},"DOI":"10.1145\/3149092.3149093","type":"proceedings-article","created":{"date-parts":[[2017,10,31]],"date-time":"2017-10-31T12:31:37Z","timestamp":1509453097000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Lane boundary extraction from satellite imagery"],"prefix":"10.1145","author":[{"given":"Andi","family":"Zang","sequence":"first","affiliation":[{"name":"Northwestern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runsheng","family":"Xu","sequence":"additional","affiliation":[{"name":"Northwestern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zichen","family":"Li","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Doria","sequence":"additional","affiliation":[{"name":"HERE North America"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,11,7]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Federal Highway Administration. 2013. Highway Statistics 2013. (2013). https:\/\/www.fhwa.dot.gov\/policyinformation\/statistics\/2013\/hm220.cfm  Federal Highway Administration. 2013. Highway Statistics 2013. (2013). https:\/\/www.fhwa.dot.gov\/policyinformation\/statistics\/2013\/hm220.cfm"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5772\/50900"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1976.4309568"},{"key":"e_1_3_2_1_4_1","unstructured":"Bing. 2012. Bing Maps Tile System. (2012). https:\/\/msdn.microsoft.com\/en-us\/library\/bb259689.aspx  Bing. 2012. Bing Maps Tile System. (2012). https:\/\/msdn.microsoft.com\/en-us\/library\/bb259689.aspx"},{"key":"e_1_3_2_1_5_1","unstructured":"Sebastian Bittel Vitali Kaiser Marvin Teichmann and Martin Thoma. 2015. Pixel-wise segmentation of street with neural networks. arXiv preprint arXiv:1511.00513 (2015).  Sebastian Bittel Vitali Kaiser Marvin Teichmann and Martin Thoma. 2015. Pixel-wise segmentation of street with neural networks. arXiv preprint arXiv:1511.00513 (2015)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2199085"},{"volume-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. arXiv preprint arXiv:1606.00915","year":"2016","author":"Chen Liang-Chieh","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Dragos Costea and Marius Leordeanu. 2016. Aerial image geolocalization from recognition and matching of roads and intersections. arXiv preprint arXiv:1605.08323 (2016).  Dragos Costea and Marius Leordeanu. 2016. Aerial image geolocalization from recognition and matching of roads and intersections. arXiv preprint arXiv:1605.08323 (2016).","DOI":"10.5244\/C.30.118"},{"key":"e_1_3_2_1_9_1","unstructured":"David Freedman. 2017. 10 Breakthrough Technologies. MIT Technology Review.  David Freedman. 2017. 10 Breakthrough Technologies. MIT Technology Review."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820859"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_4"},{"key":"e_1_3_2_1_12_1","unstructured":"HERE. 2015. HERE introduces HD maps for highly automated vehicle testing. (2015). http:\/\/360.here.com\/2015\/07\/20\/here-introduces-hd-maps-for-highly-automated-vehicle-testing\/  HERE. 2015. HERE introduces HD maps for highly automated vehicle testing. (2015). http:\/\/360.here.com\/2015\/07\/20\/here-introduces-hd-maps-for-highly-automated-vehicle-testing\/"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-011-0404-2"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.906107"},{"key":"e_1_3_2_1_15_1","unstructured":"Brody Huval Tao Wang Sameep Tandon Jeff Kiske Will Song Joel Pazhayampallil Mykhaylo Andriluka Pranav Rajpurkar Toki Migimatsu Royce Cheng-Yue and others. 2015. An empirical evaluation of deep learning on highway driving. arXiv preprint arXiv:1504.01716 (2015).  Brody Huval Tao Wang Sameep Tandon Jeff Kiske Will Song Joel Pazhayampallil Mykhaylo Andriluka Pranav Rajpurkar Toki Migimatsu Royce Cheng-Yue and others. 2015. An empirical evaluation of deep learning on highway driving. arXiv preprint arXiv:1504.01716 (2015)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.197"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.393"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15567-3_16"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2006.05.001"},{"key":"e_1_3_2_1_20_1","unstructured":"Joel Pazhayampallil and Kai Yuan Kuan. 2013. Deep Learning Lane Detection for Autonomous Vehicle Localization. (2013).  Joel Pazhayampallil and Kai Yuan Kuan. 2013. Deep Learning Lane Detection for Autonomous Vehicle Localization. (2013)."},{"volume-title":"International Conference on Machine Learning. 82--90","year":"2014","author":"Pinheiro Pedro","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2010.5625276"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232124"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2010.148"},{"key":"e_1_3_2_1_25_1","unstructured":"Young-Woo Seo. 2012. Augmenting cartographic resources and assessing roadway state for vehicle navigation. Carnegie Mellon University.  Young-Woo Seo. 2012. Augmenting cartographic resources and assessing roadway state for vehicle navigation. Carnegie Mellon University."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424401"},{"key":"e_1_3_2_1_28_1","unstructured":"Roadtraffic Technology. 2014. The world\u00e2\u0102Źs biggest road networks. (2014). http:\/\/www.roadtraffic-technology.com\/features\/featurethe-worlds-biggest-road- networks- 4159235\/  Roadtraffic Technology. 2014. The world\u00e2\u0102Źs biggest road networks. (2014). http:\/\/www.roadtraffic-technology.com\/features\/featurethe-worlds-biggest-road- networks- 4159235\/"},{"key":"e_1_3_2_1_29_1","unstructured":"TMTpost. 2016. Baidu Driverless Cars Run In Wuzhen Powered By Four Leading Technologies. (2016). https:\/\/medium.com\/@TMTpost\/baidu-driverless-cars-run-in-wuzhen-poweredby-four-leading-technologies\\discretionary{-}{}{}-tmtpost-53c0b3072cec  TMTpost. 2016. Baidu Driverless Cars Run In Wuzhen Powered By Four Leading Technologies. (2016). https:\/\/medium.com\/@TMTpost\/baidu-driverless-cars-run-in-wuzhen-poweredby-four-leading-technologies\\discretionary{-}{}{}-tmtpost-53c0b3072cec"},{"key":"e_1_3_2_1_30_1","unstructured":"TomTom. 2015. HD MAP - HIGHLY ACCURATE BORDER-TO-BORDER MODEL OF THE ROAD. (2015). http:\/\/automotive.tomtom.com\/uploads\/assets\/972\/1474451229-hd-map-product-info-sheet.pdf  TomTom. 2015. HD MAP - HIGHLY ACCURATE BORDER-TO-BORDER MODEL OF THE ROAD. (2015). http:\/\/automotive.tomtom.com\/uploads\/assets\/972\/1474451229-hd-map-product-info-sheet.pdf"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1998.0322"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.01.016"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3085504.3085533"},{"key":"e_1_3_2_1_34_1","unstructured":"J. Zoesch and T.J. Zoesch. 2014. New Guidelines for the Geometric Design of Rural Roads in Germany. (2014).  J. Zoesch and T.J. Zoesch. 2014. New Guidelines for the Geometric Design of Rural Roads in Germany. (2014)."}],"event":{"name":"SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Redondo Beach California","acronym":"SIGSPATIAL'17"},"container-title":["Proceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3149092.3149093","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3149092.3149093","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:37:02Z","timestamp":1750282622000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3149092.3149093"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,7]]},"references-count":33,"alternative-id":["10.1145\/3149092.3149093","10.1145\/3149092"],"URL":"https:\/\/doi.org\/10.1145\/3149092.3149093","relation":{},"subject":[],"published":{"date-parts":[[2017,11,7]]},"assertion":[{"value":"2017-11-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}