{"id":"https://openalex.org/W4408696414","doi":"https://doi.org/10.1109/itsc58415.2024.10919674","title":"Multi-Modality Fusion Perception Strategy Based on Adaptive Matching for Vehicle-Road Cooperation","display_name":"Multi-Modality Fusion Perception Strategy Based on Adaptive Matching for Vehicle-Road Cooperation","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696414","doi":"https://doi.org/10.1109/itsc58415.2024.10919674"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5101981783","display_name":"Guoyu Zhang","orcid":"https://orcid.org/0000-0002-4245-0742"},"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":true,"raw_author_name":"Guoyu Zhang","raw_affiliation_strings":["Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428474","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0002-5705-1576"},"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":"Qian Chen","raw_affiliation_strings":["Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055911707","display_name":"Peng Hang","orcid":"https://orcid.org/0000-0002-5843-0594"},"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":"Peng Hang","raw_affiliation_strings":["Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379486","display_name":"Lu Xiong","orcid":"https://orcid.org/0000-0002-1673-2658"},"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":"Xiong Lu","raw_affiliation_strings":["Institute of Intelligent Vehicles, Tongji University,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Vehicles, Tongji University,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062319704","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-5031-4938"},"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":"Jian Sun","raw_affiliation_strings":["Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Road and Traffic Engineering, Ministry of Education,Department of traffic Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101981783"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45658322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9298999905586243,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7467041611671448},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6828259825706482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6494283676147461},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6412670612335205},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6386251449584961},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.533173143863678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5261592268943787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4375636577606201},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14312729239463806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1032913327217102},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05899113416671753}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7467041611671448},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6828259825706482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494283676147461},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6412670612335205},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6386251449584961},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.533173143863678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5261592268943787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4375636577606201},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14312729239463806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1032913327217102},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05899113416671753},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7576926661","display_name":null,"funder_award_id":"52302502,52232015","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W2096143401","https://openalex.org/W2178853689","https://openalex.org/W2605103573","https://openalex.org/W2727570739","https://openalex.org/W2793293836","https://openalex.org/W2982681137","https://openalex.org/W3091362478","https://openalex.org/W3109991383","https://openalex.org/W4312604822","https://openalex.org/W4312939270","https://openalex.org/W4313854933","https://openalex.org/W4352977781","https://openalex.org/W4383468913","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"With":[0],"the":[1,15,27,30,33,48,55,92,100,109,112,127,138,156,159,165,179,198,217,230,240,245,248,263],"continuous":[2],"development":[3],"of":[4,18,29,35,54,94,103,111,123,140,158,167,185,192,197,256],"autonomous":[5],"driving":[6],"technology,":[7],"new":[8],"requirements":[9,53],"have":[10],"been":[11],"put":[12],"forward":[13],"for":[14,137,239,253],"perception":[16,43,58,79,113,122,203],"performance":[17,184,196,227],"traffic":[19,38],"scenes,":[20],"and":[21,40,51,81,90,98,150,154,170,177,181,211,234],"vehicle-road":[22,56,124],"cooperative":[23,57,168],"technology":[24],"has":[25,60,221],"attracted":[26],"attention":[28],"industry.":[31],"In":[32,68],"face":[34],"increasingly":[36],"complex":[37],"scenes":[39,141],"huge":[41],"interactive":[42],"data,":[44,97],"how":[45],"to":[46,65,88,108,118,161],"balance":[47],"detection":[49,226,232],"accuracy":[50,180],"real-time":[52,121],"system":[59],"become":[61],"an":[62,71],"urgent":[63],"problem":[64],"be":[66],"solved.":[67],"this":[69,207],"paper,":[70],"adaptive":[72,199],"selection":[73,200],"method":[74,85,252],"based":[75],"on":[76],"heterogeneous":[77],"multimodality":[78,193,201],"data":[80,258],"processing":[82],"model":[83,106,160],"optimization":[84],"is":[86,135,209,259],"proposed":[87,205,218],"evaluate":[89],"optimize":[91,99],"quality":[93],"multi-end":[95],"sensor":[96],"spatial":[101,250],"scale":[102,132],"feature":[104,152,186,254],"extraction":[105,187,255],"according":[107],"complexity":[110],"scene":[114,166],"environment,":[115],"so":[116],"as":[117],"realize":[119],"accurate":[120],"collaboration.":[125],"At":[126,244],"same":[128,246],"time,":[129,247],"a":[130],"multi-spatial":[131],"modulation":[133,251],"module":[134],"introduced":[136],"characteristics":[139],"with":[142,189,229],"different":[143,190],"environmental":[144],"complexity,":[145],"which":[146],"effectively":[147],"integrates":[148],"local":[149],"nonlocal":[151],"information":[153],"enhances":[155],"ability":[157],"process":[162],"features":[163],"in":[164,206,224],"vehicle":[169],"road":[171],"perception.":[172],"The":[173,195,213],"experimental":[174],"results":[175,214],"compare":[176],"analyze":[178],"time":[182],"delay":[183,242],"models":[188],"scales":[191],"data.":[194],"fusion":[202,219],"strategy":[204,220],"paper":[208],"compared":[210,228],"analyzed.":[212],"show":[215],"that":[216],"9.87%":[222],"improvement":[223,238],"comprehensive":[225],"optimal":[231],"scheme,":[233],"27.58<sup":[235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[237],"shortest":[241],"scheme.":[243],"multi-scale":[249],"sensory":[257],"significantly":[260],"enhanced":[261],"at":[262],"visualization":[264],"level.":[265]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
