{"id":"https://openalex.org/W2765957227","doi":"https://doi.org/10.1145/3149092.3149094","title":"Accurate vehicle self-localization in high definition map dataset","display_name":"Accurate vehicle self-localization in high definition map dataset","publication_year":2017,"publication_date":"2017-10-31","ids":{"openalex":"https://openalex.org/W2765957227","doi":"https://doi.org/10.1145/3149092.3149094","mag":"2765957227"},"language":"en","primary_location":{"id":"doi:10.1145/3149092.3149094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149092.3149094","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036057705","display_name":"Andi Zang","orcid":"https://orcid.org/0000-0002-7161-9615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andi Zang","raw_affiliation_strings":["HERE North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HERE North America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090639079","display_name":"Zichen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zichen Li","raw_affiliation_strings":["HERE North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HERE North America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009777285","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":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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/global-positioning-system","display_name":"Global Positioning System","score":0.8543413877487183},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.756095290184021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347510457038879},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6157868504524231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5783860683441162},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.545903742313385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458968877792358},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.4652562737464905},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42945507168769836},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4276908040046692},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11350932717323303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10712164640426636},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.084200918674469},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07695373892784119}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.8543413877487183},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.756095290184021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347510457038879},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6157868504524231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5783860683441162},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.545903742313385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458968877792358},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.4652562737464905},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42945507168769836},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4276908040046692},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11350932717323303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10712164640426636},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.084200918674469},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07695373892784119},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3149092.3149094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149092.3149094","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W109761125","https://openalex.org/W179122090","https://openalex.org/W1514390850","https://openalex.org/W1525292367","https://openalex.org/W1537528663","https://openalex.org/W1556546299","https://openalex.org/W1946093182","https://openalex.org/W1969553439","https://openalex.org/W1969891195","https://openalex.org/W1970329928","https://openalex.org/W1980148873","https://openalex.org/W1981154748","https://openalex.org/W1985434019","https://openalex.org/W1987488988","https://openalex.org/W1988873224","https://openalex.org/W1990004830","https://openalex.org/W2002249106","https://openalex.org/W2013270301","https://openalex.org/W2043578134","https://openalex.org/W2052777050","https://openalex.org/W2053180906","https://openalex.org/W2054969198","https://openalex.org/W2055132753","https://openalex.org/W2058220625","https://openalex.org/W2060061906","https://openalex.org/W2060565114","https://openalex.org/W2061153075","https://openalex.org/W2067556683","https://openalex.org/W2073761981","https://openalex.org/W2081418428","https://openalex.org/W2085040442","https://openalex.org/W2088061407","https://openalex.org/W2099850133","https://openalex.org/W2100237490","https://openalex.org/W2101796109","https://openalex.org/W2106564525","https://openalex.org/W2110235183","https://openalex.org/W2112358954","https://openalex.org/W2113644556","https://openalex.org/W2122556364","https://openalex.org/W2127585704","https://openalex.org/W2142284218","https://openalex.org/W2146575011","https://openalex.org/W2152671441","https://openalex.org/W2157489960","https://openalex.org/W2160584648","https://openalex.org/W2171008136","https://openalex.org/W2180111246","https://openalex.org/W2199890863","https://openalex.org/W2247779895","https://openalex.org/W2309143537","https://openalex.org/W2471206083","https://openalex.org/W2528122233","https://openalex.org/W2563294506","https://openalex.org/W2567687466","https://openalex.org/W2624409332","https://openalex.org/W2685925551","https://openalex.org/W2745839262","https://openalex.org/W2760357274"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W2032260263","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2107419747","https://openalex.org/W4379980701","https://openalex.org/W4389213641","https://openalex.org/W2768783566"],"abstract_inverted_index":{"One":[0],"of":[1,58,64,96,106,155,165],"the":[2,9,13,94,107,111,124,163],"biggest":[3],"challenges":[4],"in":[5,16,110],"automated":[6,27],"driving":[7,28],"is":[8,158],"ability":[10],"to":[11,123,159,173],"determine":[12],"vehicle\u00e2\u0102\u0179s":[14],"location":[15],"realtime":[17],"-":[18],"a":[19,65,91,171],"process":[20],"known":[21],"as":[22],"self-localization":[23,87,168],"or":[24,42],"ego-localization.":[25],"An":[26],"system":[29],"must":[30],"be":[31],"reliable":[32],"under":[33,115],"harsh":[34],"conditions":[35],"and":[36,50,72,75,89,118,141,161,169,175],"environmental":[37],"uncertainties":[38],"(e.g.":[39,70],"GPS":[40,66,139,151],"denial":[41],"imprecision),":[43],"sensor":[44],"malfunction,":[45],"road":[46],"occlusions,":[47],"poor":[48],"lighting,":[49],"inclement":[51],"weather.":[52],"To":[53],"cope":[54],"with":[55],"this":[56,82,156],"myriad":[57],"potential":[59],"problems,":[60],"systems":[61],"typically":[62],"consist":[63],"receiver,":[67],"in-vehicle":[68],"sensors":[69],"cameras":[71],"LiDAR":[73],"devices),":[74],"3D":[76,143],"High-Definition":[77],"(3D":[78],"HD)":[79],"Maps.":[80,145],"In":[81],"paper,":[83],"we":[84,127,148],"review":[85],"state-of-the-art":[86],"techniques,":[88],"present":[90],"benchmark":[92,172],"for":[93],"task":[95],"image-based":[97],"vehicle":[98,167],"self-localization.":[99],"Our":[100],"dataset":[101,157],"was":[102],"collected":[103],"on":[104],"10km":[105],"Warren":[108],"Freeway":[109],"San":[112],"Francisco":[113],"Area":[114],"reasonable":[116],"traffic":[117],"weather":[119],"conditions.":[120],"As":[121],"input":[122],"localization":[125],"process,":[126],"provide":[128,149,170],"timestamp-synchronized,":[129],"consumer-grade":[130,138],"monocular":[131],"video":[132],"frames":[133],"(with":[134],"camera":[135],"intrinsic":[136],"parameters),":[137],"trajectory,":[140],"production-grade":[142],"HD":[144],"For":[146],"evaluation,":[147],"survey-grade":[150],"trajectory.":[152],"The":[153],"goal":[154],"standardize":[160],"formalize":[162],"challenge":[164],"accurate":[166],"develop":[174],"evaluate":[176],"algorithms.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}