{"id":"https://openalex.org/W4404594317","doi":"https://doi.org/10.1080/15472450.2024.2416164","title":"LiDAR-camera fusion: dual-scale correction for vehicle multi-object detection and trajectory extraction","display_name":"LiDAR-camera fusion: dual-scale correction for vehicle multi-object detection and trajectory extraction","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4404594317","doi":"https://doi.org/10.1080/15472450.2024.2416164"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2024.2416164","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2024.2416164","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-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/A5009741300","display_name":"Ting Fu","orcid":"https://orcid.org/0000-0002-7097-1262"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Fu","raw_affiliation_strings":["College of Transportation Engineering, Tongji University","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","College of Transportation Engineering, Tongji University, Shanghai, China","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Transportation Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101702423","display_name":"Shuke Xie","orcid":"https://orcid.org/0009-0004-3504-9493"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuke Xie","raw_affiliation_strings":["College of Transportation Engineering, Tongji University","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","College of Transportation Engineering, Tongji University, Shanghai, China","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Transportation Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102544979","display_name":"Weichao Hu","orcid":"https://orcid.org/0000-0001-5622-7763"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weichao Hu","raw_affiliation_strings":["Road Traffic Safety Research Center of the Ministry of Public Security","Road Traffic Safety Research Center of the Ministry of Public Security, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Road Traffic Safety Research Center of the Ministry of Public Security","institution_ids":["https://openalex.org/I1302611135"]},{"raw_affiliation_string":"Road Traffic Safety Research Center of the Ministry of Public Security, Beijing, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649617","display_name":"Junhua Wang","orcid":"https://orcid.org/0000-0001-6032-3352"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Wang","raw_affiliation_strings":["College of Transportation Engineering, Tongji University","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","College of Transportation Engineering, Tongji University, Shanghai, China","The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Transportation Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102637048","display_name":"Zixuan Cui","orcid":"https://orcid.org/0009-0001-2899-4225"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Cui","raw_affiliation_strings":["College of Transportation Engineering, Tongji University","College of Transportation Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Transportation Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102544979"],"corresponding_institution_ids":["https://openalex.org/I1302611135"],"apc_list":null,"apc_paid":null,"fwci":1.0829,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79284775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"30","issue":"1","first_page":"55","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"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":0.9983000159263611,"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/trajectory","display_name":"Trajectory","score":0.6769261360168457},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6600065231323242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6552836894989014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323726177215576},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6020876169204712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511455535888672},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5440248250961304},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5114637613296509},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5091769099235535},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4757482707500458},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4329458475112915},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.31221967935562134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20574408769607544},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14461514353752136},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09798544645309448},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06959477066993713}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6769261360168457},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6600065231323242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6552836894989014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323726177215576},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6020876169204712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511455535888672},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5440248250961304},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5114637613296509},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5091769099235535},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4757482707500458},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4329458475112915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31221967935562134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20574408769607544},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14461514353752136},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09798544645309448},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06959477066993713},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2024.2416164","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2024.2416164","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1857558840","display_name":null,"funder_award_id":"2022-5-ZD-05","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G530201637","display_name":null,"funder_award_id":"52172348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6522229590","display_name":null,"funder_award_id":"52372338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1820980500","https://openalex.org/W1968515857","https://openalex.org/W1972096669","https://openalex.org/W1984713107","https://openalex.org/W1989085630","https://openalex.org/W2063920058","https://openalex.org/W2102605133","https://openalex.org/W2134759468","https://openalex.org/W2150066425","https://openalex.org/W2153646988","https://openalex.org/W2165155128","https://openalex.org/W2344934580","https://openalex.org/W2555618208","https://openalex.org/W2562105614","https://openalex.org/W2752289573","https://openalex.org/W2769571673","https://openalex.org/W2888363112","https://openalex.org/W2894415171","https://openalex.org/W2897529137","https://openalex.org/W2903870443","https://openalex.org/W2962989428","https://openalex.org/W2997192890","https://openalex.org/W3017930107","https://openalex.org/W3034314779","https://openalex.org/W3034745255","https://openalex.org/W3036934267","https://openalex.org/W3042403800","https://openalex.org/W3080309337","https://openalex.org/W3082772998","https://openalex.org/W3107819843","https://openalex.org/W3113571747","https://openalex.org/W3195380476","https://openalex.org/W3207950313","https://openalex.org/W4207031702","https://openalex.org/W4210598935","https://openalex.org/W4210970621","https://openalex.org/W4233943002","https://openalex.org/W4249625263","https://openalex.org/W4282014923","https://openalex.org/W4300349310","https://openalex.org/W4308456912","https://openalex.org/W4384526012","https://openalex.org/W4390806948"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0,139,171],"different":[1],"principles":[2],"of":[3,48,93,97,110,120,126,150,158,199,215],"sensor":[4],"technology":[5],"determine":[6],"their":[7,29,79],"distinct":[8],"performance":[9,183],"in":[10,33,175,197,227],"vehicle":[11,216],"detection":[12,73,178,200],"and":[13,28,57,68,112,123,131,134,167,179,202,212,221,231],"microscopic":[14,180],"tracking.":[15],"Vision-based":[16],"sensors":[17,188],"can":[18,42,74],"provide":[19],"rich":[20],"semantic":[21,124],"information":[22,46],"but":[23,51],"lack":[24],"reliable":[25],"spatial":[26,45,118],"information,":[27],"reliability":[30],"is":[31,163],"reduced":[32],"complex":[34],"lighting":[35,49],"conditions.":[36],"On":[37],"the":[38,63,88,91,148,156,159,191],"other":[39,195],"hand,":[40],"LiDAR":[41,113,222],"offer":[43],"high-precision":[44],"independent":[47],"conditions,":[50],"it":[52],"suffers":[53],"from":[54,165],"low":[55],"resolution":[56],"effective":[58],"sampling":[59],"rate":[60],"limitations.":[61],"Considering":[62],"strong":[64],"complementarity":[65],"between":[66,90],"images":[67,127],"point":[69,121],"clouds,":[70],"efficient":[71],"object":[72,177],"be":[75],"achieved":[76],"by":[77],"leveraging":[78],"synergy.":[80],"However,":[81],"existing":[82],"research":[83,206],"has":[84],"not":[85],"fully":[86],"explored":[87],"correlation":[89],"features":[92,119,125],"these":[94],"two":[95],"types":[96],"data.":[98,114],"This":[99,115,205],"paper":[100],"proposes":[101],"a":[102,208],"novel":[103],"dual-scale":[104],"correction":[105,141],"strategy":[106,116],"for":[107,210],"feature-level":[108],"fusion":[109,192],"camera":[111],"captures":[117],"clouds":[122],"at":[128],"both":[129,176],"global":[130,140],"local":[132,151],"scales":[133],"establishes":[135],"mapping":[136],"relationships":[137],"separately.":[138],"results":[142,149,172],"are":[143],"iteratively":[144],"updated":[145],"based":[146],"on":[147],"precision":[152],"correction.":[153],"To":[154],"validate":[155],"effectiveness":[157],"proposed":[160],"method,":[161],"data":[162],"collected":[164],"highway":[166],"urban":[168],"expressway":[169],"scenarios.":[170],"indicate":[173],"improvements":[174],"trajectory":[181,229],"tracking":[182,230],"compared":[184],"to":[185],"using":[186,218],"single":[187],"alone.":[189],"Furthermore,":[190],"approach":[193],"outperforms":[194],"methods":[196],"terms":[198],"accuracy":[201],"processing":[203],"time.":[204],"offers":[207],"method":[209],"real-time":[211,228],"accurate":[213],"extraction":[214],"trajectories":[217],"roadside":[219],"cameras":[220],"devices,":[223],"with":[224],"potential":[225],"applications":[226],"traffic":[232],"management.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}