{"id":"https://openalex.org/W4387914667","doi":"https://doi.org/10.1109/mnet.010.2300029","title":"Multimodal Cooperative 3D Object Detection Over Connected Vehicles for Autonomous Driving","display_name":"Multimodal Cooperative 3D Object Detection Over Connected Vehicles for Autonomous Driving","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4387914667","doi":"https://doi.org/10.1109/mnet.010.2300029"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.010.2300029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.010.2300029","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Network","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/A5046125765","display_name":"Fangyuan Chi","orcid":"https://orcid.org/0000-0001-8926-6793"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fangyuan Chi","raw_affiliation_strings":["University of British Columbia,Canada","University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651550","display_name":"Yixiao Wang","orcid":"https://orcid.org/0000-0003-2664-3605"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yixiao Wang","raw_affiliation_strings":["University of British Columbia,Canada","University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008597700","display_name":"Mahsa T. Pourazad","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4210160082","display_name":"Accenture (United Kingdom)","ror":"https://ror.org/05h202h75","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210093804","https://openalex.org/I4210160082"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Mahsa T. Pourazad","raw_affiliation_strings":["University of British Columbia,Canada","University of British Columbia, Canada","Accenture, UK"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Accenture, UK","institution_ids":["https://openalex.org/I4210160082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068915025","display_name":"Panos Nasiopoulos","orcid":"https://orcid.org/0000-0002-2654-8096"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Panos Nasiopoulos","raw_affiliation_strings":["University of British Columbia,Canada","University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035919267","display_name":"Victor C. M. Leung","orcid":"https://orcid.org/0000-0003-3529-2640"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Victor C.M. Leung","raw_affiliation_strings":["University of British Columbia,Canada","University of British Columbia, Canada","Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046125765"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":1.1134,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80406413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"265","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.8331052660942078},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.697822093963623},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.638015866279602},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5263009071350098},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5177423357963562},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.50071120262146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4870617687702179},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4638625979423523},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4424675703048706},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4100300967693329},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40515682101249695},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3387059271335602},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.13469427824020386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11168426275253296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331052660942078},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.697822093963623},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.638015866279602},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5263009071350098},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5177423357963562},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.50071120262146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4870617687702179},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4638625979423523},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4424675703048706},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4100300967693329},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40515682101249695},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3387059271335602},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.13469427824020386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11168426275253296},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.010.2300029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.010.2300029","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2549139847","https://openalex.org/W2962721361","https://openalex.org/W2963091558","https://openalex.org/W2967324759","https://openalex.org/W2969284583","https://openalex.org/W2982681137","https://openalex.org/W2985739927","https://openalex.org/W3109991383","https://openalex.org/W3118916059","https://openalex.org/W3123928227","https://openalex.org/W3126365018","https://openalex.org/W3201193904","https://openalex.org/W4295719664","https://openalex.org/W4313144683","https://openalex.org/W6745935785"],"related_works":["https://openalex.org/W2139561767","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W4298149443","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271"],"abstract_inverted_index":{"Having":[0],"an":[1,17,35],"accurate":[2],"and":[3,61,88,126,171],"comprehensive":[4],"understanding":[5],"of":[6,64,138,155],"surrounding":[7],"environment":[8],"is":[9,71,92],"the":[10,46,65,105,124,136,153,181],"first":[11,49],"step":[12],"toward":[13],"autonomous":[14,18,112,175],"driving.":[15],"For":[16],"car":[19],"to":[20,26,32,40,51,59,68,73,134],"plan":[21],"its":[22,53],"actions,":[23],"for":[24,82,108,130],"example,":[25],"make":[27],"instant":[28],"decisions":[29],"about":[30],"whether":[31],"proceed":[33],"at":[34],"intersection":[36],"or":[37],"slow":[38],"down":[39],"wait":[41],"until":[42],"a":[43,93],"pedestrian":[44,189],"crosses":[45],"road,":[47],"it":[48],"needs":[50],"recognize":[52],"surroundings,":[54],"including":[55],"but":[56],"not":[57],"limited":[58],"vehicles":[60],"pedestrians.":[62],"One":[63],"challenges":[66],"needed":[67],"be":[69,114,162],"addressed":[70],"how":[72],"handle":[74],"situations":[75],"where":[76],"objects":[77,157],"are":[78,86],"being":[79],"occluded,":[80],"especially":[81],"pedestrians":[83],"since":[84],"they":[85,132],"small":[87,139,156],"vulnerable.":[89],"Cooperative":[90],"perception":[91,122],"promising":[94],"approach":[95],"in":[96],"addressing":[97],"this":[98,142],"challenge.":[99],"By":[100],"sharing":[101],"perceived":[102],"information":[103,167],"together,":[104],"detection":[106,128,149,154],"range":[107,129],"each":[109],"individual":[110],"connected":[111,174],"could":[113],"extended.":[115],"Although":[116],"existing":[117],"works":[118],"focusing":[119],"on":[120,151,187],"cooperative":[121,146],"improve":[123],"accuracy":[125],"extend":[127],"vehicles,":[131],"fail":[133],"consider":[135],"effect":[137],"objects.":[140],"In":[141],"article,":[143],"we":[144],"investigate":[145],"3D":[147,188],"object":[148],"targeting":[150],"improving":[152],"(i.e.,":[158],"pedestrians),":[159],"which":[160],"may":[161],"achieved":[163],"by":[164],"leveraging":[165],"shared":[166],"extracted":[168],"from":[169],"image":[170],"LiDAR":[172],"over":[173],"vehicles.":[176],"Evaluation":[177],"results":[178],"show":[179],"that":[180],"proposed":[182],"method":[183],"outperforms":[184],"state-of-the-art":[185],"networks":[186],"detection.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}