{"id":"https://openalex.org/W2951611857","doi":"https://doi.org/10.1109/ivs.2019.8814214","title":"Estimating the reliability of georeferenced lane markings for map-aided localization","display_name":"Estimating the reliability of georeferenced lane markings for map-aided localization","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2951611857","doi":"https://doi.org/10.1109/ivs.2019.8814214","mag":"2951611857"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8814214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","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/A5008909572","display_name":"Anthony Welte","orcid":"https://orcid.org/0000-0003-3019-8428"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Anthony Welte","raw_affiliation_strings":["CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France"],"affiliations":[{"raw_affiliation_string":"CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049796269","display_name":"Philippe Xu","orcid":"https://orcid.org/0000-0001-7397-4808"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Xu","raw_affiliation_strings":["CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France"],"affiliations":[{"raw_affiliation_string":"CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050418541","display_name":"Philippe Bonnifait","orcid":"https://orcid.org/0000-0002-5842-1399"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Bonnifait","raw_affiliation_strings":["CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France"],"affiliations":[{"raw_affiliation_string":"CNRS UMR 7253, Univcrsit\u00e9 de Technologie de Compi\u00e8gne, Heudiasyc, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039088139","display_name":"Cl\u00e9ment Zinoune","orcid":null},"institutions":[{"id":"https://openalex.org/I1301102746","display_name":"Renault (France)","ror":"https://ror.org/04v98kq37","country_code":"FR","type":"company","lineage":["https://openalex.org/I1301102746"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Clement Zinoune","raw_affiliation_strings":["Renault S.A.S, Guyancourt, France"],"affiliations":[{"raw_affiliation_string":"Renault S.A.S, Guyancourt, France","institution_ids":["https://openalex.org/I1301102746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008909572"],"corresponding_institution_ids":["https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":2.7769,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90453668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1225","last_page":"1231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7351977825164795},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.725055456161499},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6965994238853455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790791749954224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6452475786209106},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6151065826416016},{"id":"https://openalex.org/keywords/georeference","display_name":"Georeference","score":0.5978869199752808},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5310196280479431},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5146804451942444},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.45758169889450073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18041837215423584},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1561529040336609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351977825164795},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.725055456161499},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6965994238853455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790791749954224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6452475786209106},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6151065826416016},{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.5978869199752808},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5310196280479431},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5146804451942444},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.45758169889450073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18041837215423584},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1561529040336609},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2019.8814214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2009345891","https://openalex.org/W2039787185","https://openalex.org/W2060061906","https://openalex.org/W2075007584","https://openalex.org/W2094227853","https://openalex.org/W2123224489","https://openalex.org/W2140581865","https://openalex.org/W2588793231","https://openalex.org/W2616609999","https://openalex.org/W2764313696","https://openalex.org/W2808341609","https://openalex.org/W2903637353","https://openalex.org/W2904684872","https://openalex.org/W2909449108","https://openalex.org/W2953168961","https://openalex.org/W6669331498"],"related_works":["https://openalex.org/W2032854667","https://openalex.org/W4389670513","https://openalex.org/W2619880372","https://openalex.org/W1619824977","https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W241236883","https://openalex.org/W1987225439","https://openalex.org/W4225393332"],"abstract_inverted_index":{"Maps":[0],"can":[1,131,154],"greatly":[2],"improve":[3],"vehicle":[4],"localization":[5,60],"using":[6,61,115],"perception":[7],"sensors":[8],"that":[9,84,151],"detect":[10],"features":[11,24,38],"georeferenced":[12],"in":[13,93,111,127,134],"the":[14,22,26,29,37,40,77,82,88,94,105,112,143],"map.":[15,95,113],"This":[16],"relies":[17],"on":[18],"two":[19,117],"assumptions.":[20],"Firstly,":[21],"detected":[23,122],"and":[25,130],"elements":[27],"of":[28,39,59,81,90,145],"map":[30,41,119],"have":[31,42],"to":[32,43,75,86,102,108,141],"be":[33,44,132,155],"correctly":[34,156],"associated.":[35],"Secondly,":[36],"accurately":[45],"referenced.":[46],"In":[47],"this":[48,146],"paper,":[49],"solutions":[50],"regarding":[51],"these":[52,116],"issues":[53],"are":[54,121,139],"presented.":[55],"The":[56],"case":[57],"study":[58],"a":[62,124],"camera":[63],"detecting":[64],"road":[65],"markings":[66,91,107],"is":[67,73,100,149],"considered.":[68],"A":[69,96],"Kalman":[70],"smoothing":[71],"process":[72],"used":[74,101],"obtain":[76],"best":[78,103],"possible":[79],"estimate":[80],"trajectory":[83],"enables":[85],"evaluate":[87,142],"reliability":[89],"stored":[92],"likelihood":[97],"maximization":[98],"technique":[99],"associate":[104],"observed":[106],"those":[109],"referenced":[110],"By":[114],"methods,":[118],"errors":[120,153],"after":[123],"first":[125],"passage":[126],"an":[128],"area":[129],"mitigated":[133],"later":[135],"passes.":[136],"Experimental":[137],"results":[138],"reported":[140],"performance":[144],"approach.":[147],"It":[148],"shown":[150],"mapping":[152],"handled.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}