{"id":"https://openalex.org/W4410284777","doi":"https://doi.org/10.1080/10095020.2025.2497402","title":"A quality enhancement method for vehicle trajectory data using onboard images","display_name":"A quality enhancement method for vehicle trajectory data using onboard images","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4410284777","doi":"https://doi.org/10.1080/10095020.2025.2497402"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2025.2497402","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2025.2497402","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/10095020.2025.2497402","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047289601","display_name":"Bozhao Li","orcid":"https://orcid.org/0000-0001-7566-5638"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bozhao Li","raw_affiliation_strings":["Wuhan University"],"raw_orcid":"https://orcid.org/0000-0001-7566-5638","affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087262718","display_name":"Zhongliang Cai","orcid":"https://orcid.org/0000-0003-1403-4394"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliang Cai","raw_affiliation_strings":["Wuhan University"],"raw_orcid":"https://orcid.org/0000-0003-1403-4394","affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111777163","display_name":"Hanzhi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzhi Wei","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112223550","display_name":"Shiliang Su","orcid":"https://orcid.org/0000-0002-1201-7593"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Su","raw_affiliation_strings":["Wuhan University"],"raw_orcid":"https://orcid.org/0000-0002-1201-7593","affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenchun Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141685","display_name":"Nanjing Surveying and Mapping Research Institute (China)","ror":"https://ror.org/042t78q04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchun Cao","raw_affiliation_strings":["Tianjin Institute of Surveying and Mapping Co. Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Institute of Surveying and Mapping Co. Ltd","institution_ids":["https://openalex.org/I4210141685"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070980376","display_name":"Yanfen Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146277","display_name":"Infotech Soft (United States)","ror":"https://ror.org/04bw2xb41","country_code":"US","type":"company","lineage":["https://openalex.org/I4210146277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanfen Niu","raw_affiliation_strings":["Beijing PalmGo Infotech Co. Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing PalmGo Infotech Co. Ltd","institution_ids":["https://openalex.org/I4210146277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100777828","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-1187-0824"},"institutions":[{"id":"https://openalex.org/I4210111268","display_name":"Tianjin Municipal Education Commission","ror":"https://ror.org/01z7y3r39","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Tianjin Municipal Transportation Commission"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Municipal Transportation Commission","institution_ids":["https://openalex.org/I4210111268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5047289601"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.5858,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66364583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"29","issue":"1","first_page":"546","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6973434686660767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5587171316146851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5465070009231567},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4602144956588745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4264965355396271},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38835591077804565},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18233990669250488},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08929219841957092}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6973434686660767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5587171316146851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5465070009231567},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4602144956588745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4264965355396271},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38835591077804565},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18233990669250488},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08929219841957092},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2025.2497402","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2025.2497402","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27506595798042a7bcb3174cb648da90","is_oa":true,"landing_page_url":"https://doaj.org/article/27506595798042a7bcb3174cb648da90","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Geo-spatial Information Science, Vol 29, Iss 1, Pp 546-571 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2025.2497402","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2025.2497402","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6204203534","display_name":null,"funder_award_id":"42301532","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8649391808","display_name":null,"funder_award_id":"2022M722442","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W2034392969","https://openalex.org/W2074065303","https://openalex.org/W2142384583","https://openalex.org/W2143802618","https://openalex.org/W2291536712","https://openalex.org/W2329363098","https://openalex.org/W2340897893","https://openalex.org/W2593652602","https://openalex.org/W2617857598","https://openalex.org/W2732861165","https://openalex.org/W2741837212","https://openalex.org/W2766407754","https://openalex.org/W2768256553","https://openalex.org/W2944421969","https://openalex.org/W2946948417","https://openalex.org/W2964309882","https://openalex.org/W2969874448","https://openalex.org/W2996479093","https://openalex.org/W3004293981","https://openalex.org/W3036899852","https://openalex.org/W3043971245","https://openalex.org/W3045397775","https://openalex.org/W3048871122","https://openalex.org/W3093927333","https://openalex.org/W3095500155","https://openalex.org/W3113257154","https://openalex.org/W3118842298","https://openalex.org/W3120844761","https://openalex.org/W3128257753","https://openalex.org/W3128899992","https://openalex.org/W3131220023","https://openalex.org/W3140633392","https://openalex.org/W3184499923","https://openalex.org/W3190707612","https://openalex.org/W3206265485","https://openalex.org/W3210177583","https://openalex.org/W4200087694","https://openalex.org/W4225003277","https://openalex.org/W4235140465","https://openalex.org/W4236965008","https://openalex.org/W4251657854","https://openalex.org/W4288109035","https://openalex.org/W4301409532","https://openalex.org/W4309402183","https://openalex.org/W4313894460","https://openalex.org/W4321488690","https://openalex.org/W4322500821","https://openalex.org/W4381327756","https://openalex.org/W4382998492","https://openalex.org/W4393003243","https://openalex.org/W4394820721","https://openalex.org/W4395671145","https://openalex.org/W4395671615","https://openalex.org/W4400277045","https://openalex.org/W4401428717","https://openalex.org/W4405494790","https://openalex.org/W6684615913","https://openalex.org/W6687742793","https://openalex.org/W6744221616"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Crowdsourcing":[0],"is":[1,63,189],"essential":[2],"for":[3,240],"real-time":[4],"map":[5,37,246],"updates.":[6,248],"However,":[7],"low-cost":[8],"GPS":[9],"devices":[10],"often":[11],"cause":[12],"issues":[13],"such":[14,79],"as":[15,80],"trajectory":[16,29,54,70,84,104,130,178,184,207,212,228],"point":[17,208],"deviation":[18,82,87,187],"and":[19,31,39,72,93,121,137,158,180,211,237],"key":[20],"attribute":[21],"missing,":[22],"which":[23,60,232],"reduces":[24],"the":[25,34,40,57,61,69,90,101,108,118,143,151,155,159,174,181,197,202,220,242],"potential":[26,109],"application":[27,244],"of":[28,36,42,103,110,124,173,183,204,245],"data":[30,115],"subsequently":[32],"impacts":[33,203],"accuracy":[35,182],"updates":[38],"quality":[41,131],"transportation":[43],"services.":[44],"Map-matching":[45],"algorithms":[46],"(MMs)":[47],"are":[48],"commonly":[49],"employed":[50],"to":[51,89,116,141],"vertically":[52],"match":[53],"points":[55,71],"with":[56,223],"road":[58,74,91],"on":[59,66,216],"vehicle":[62,95],"traveling,":[64],"based":[65],"characteristics":[67],"between":[68,83,154],"urban":[73],"network":[75],"data.":[76],"Nonetheless,":[77],"challenges":[78],"relative":[81],"points,":[85,179],"overall":[86,185,213],"parallel":[88],"direction,":[92],"abnormal":[94],"heading":[96],"angles":[97],"still":[98],"persist,":[99],"increasing":[100],"difficulty":[102],"position":[105,168,229],"correction.":[106],"Considering":[107],"onboard":[111,135],"videos":[112,136],"in":[113,177],"crowdsourced":[114],"reflect":[117],"driving":[119],"environment":[120],"attitude":[122],"changes":[123],"vehicles,":[125],"this":[126],"study":[127],"proposes":[128],"a":[129],"enhancement":[132],"method":[133,199,222,238],"using":[134],"computer":[138],"vision":[139],"technology":[140],"address":[142],"aforementioned":[144],"issues.":[145],"The":[146,166],"experimental":[147],"results":[148],"indicate":[149],"that":[150,196],"maximum":[152],"difference":[153],"estimated":[156,167],"angle":[157,161,205],"true":[160],"does":[162],"not":[163],"exceed":[164],"35\u00b0.":[165],"can":[169,225],"correct":[170],"over":[171],"95%":[172],"local":[175,209],"offsets":[176],"positional":[186,214],"correction":[188,230],"within":[190],"20":[191],"m.":[192],"These":[193],"findings":[194],"demonstrate":[195],"proposed":[198,221],"effectively":[200],"addresses":[201],"abnormalities,":[206],"deviations,":[210],"deviations":[215],"MMs.":[217],"Furthermore,":[218],"integrating":[219],"MMs":[224],"significantly":[226],"enhance":[227],"accuracy,":[231],"provides":[233],"valuable":[234],"technical":[235],"support":[236],"references":[239],"promoting":[241],"practical":[243],"crowdsourcing":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}