{"id":"https://openalex.org/W2766076939","doi":"https://doi.org/10.1145/3149092.3149093","title":"Lane boundary extraction from satellite imagery","display_name":"Lane boundary extraction from satellite imagery","publication_year":2017,"publication_date":"2017-10-31","ids":{"openalex":"https://openalex.org/W2766076939","doi":"https://doi.org/10.1145/3149092.3149093","mag":"2766076939"},"language":"en","primary_location":{"id":"doi:10.1145/3149092.3149093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149092.3149093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.02362","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Andi Zang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andi Zang","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Runsheng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Runsheng Xu","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zichen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zichen Li","raw_affiliation_strings":["New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":null,"display_name":"David Doria","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Doria","raw_affiliation_strings":["HERE North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HERE North America","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3185,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88811923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.7613999843597412},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6247000098228455},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5774999856948853},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5401999950408936},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4043000042438507},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.3725999891757965}],"concepts":[{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.7613999843597412},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6352999806404114},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6247000098228455},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622000098228455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5449000000953674},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5400000214576721},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4043000042438507},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C2993043157","wikidata":"https://www.wikidata.org/wiki/Q4949967","display_name":"Boundary line","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3328999876976013},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25999999046325684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3149092.3149093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149092.3149093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.02362","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.02362","pdf_url":"https://arxiv.org/pdf/2002.02362","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.02362","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.02362","pdf_url":"https://arxiv.org/pdf/2002.02362","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1516887802","https://openalex.org/W1993177888","https://openalex.org/W2006986982","https://openalex.org/W2012531858","https://openalex.org/W2041330605","https://openalex.org/W2069143321","https://openalex.org/W2078816540","https://openalex.org/W2081294768","https://openalex.org/W2091505087","https://openalex.org/W2102048636","https://openalex.org/W2123960127","https://openalex.org/W2159132531","https://openalex.org/W2167069501","https://openalex.org/W2205800717","https://openalex.org/W2300131316","https://openalex.org/W2464204616","https://openalex.org/W2624409332","https://openalex.org/W2964255128"],"related_works":[],"abstract_inverted_index":{"Automated":[0],"driving":[1],"is":[2,27],"becoming":[3],"a":[4,74,98,104,116],"reality.":[5],"In":[6,69],"this":[7,70],"new":[8],"reality,":[9],"High":[10],"Definition":[11],"(HD)":[12],"Maps":[13],"play":[14],"an":[15,34],"important":[16],"role":[17],"in":[18,52],"path":[19],"planning":[20],"and":[21,46,66,88,122,133],"vehicle":[22],"localization.":[23],"Lane":[24],"boundary":[25],"geometry":[26],"one":[28],"of":[29,33,119],"the":[30,110,123],"key":[31],"components":[32],"HD":[35],"Map.":[36],"Such":[37],"maps":[38],"are":[39],"typically":[40],"created":[41],"from":[42,82],"ground":[43],"level":[44],"LiDAR":[45],"imagery":[47,84,121],"data,":[48],"which,":[49],"while":[50],"useful":[51],"many":[53,56],"ways,":[54],"have":[55],"limitations":[57],"such":[58],"as":[59],"prohibitive":[60],"cost,":[61],"infrequent":[62],"update,":[63],"traffic":[64],"occlusions,":[65],"incomplete":[67],"coverage.":[68],"paper,":[71],"we":[72],"propose":[73],"novel":[75],"method":[76],"to":[77,130],"automatically":[78],"extract":[79],"lane":[80,125],"boundaries":[81,126],"satellite":[83,120],"using":[85,103],"pixel-wise":[86],"segmentation":[87],"machine":[89],"learning.":[90],"We":[91,113],"then":[92],"convert":[93],"these":[94],"unstructured":[95],"lines":[96],"into":[97],"structured":[99],"road":[100],"model":[101],"by":[102],"hypothesis":[105],"linking":[106],"algorithm,":[107],"which":[108],"addresses":[109],"aforementioned":[111],"limitations.":[112],"also":[114],"publish":[115],"dataset":[117],"consisting":[118],"corresponding":[124],"for":[127],"future":[128],"authors":[129],"train,":[131],"test,":[132],"evaluate":[134],"algorithms.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2017-11-10T00:00:00"}