{"id":"https://openalex.org/W4312837350","doi":"https://doi.org/10.1109/access.2022.3228735","title":"Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments","display_name":"Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312837350","doi":"https://doi.org/10.1109/access.2022.3228735"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3228735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982615.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982615.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005712985","display_name":"Samuel Thornton","orcid":"https://orcid.org/0000-0002-3087-2577"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Thornton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3087-2577","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016717133","display_name":"Bryse Flowers","orcid":"https://orcid.org/0000-0003-1474-4732"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryse Flowers","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105369696","display_name":"Sujit Dey","orcid":"https://orcid.org/0000-0001-9671-3950"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujit Dey","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7107,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71334318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"131841","last_page":"131854"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9969000220298767,"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":0.7825939655303955},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6331340670585632},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5774083137512207},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.530971884727478},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5112366676330566},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.50528484582901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45383456349372864},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4528369605541229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4287570118904114},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3683604598045349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3462578058242798},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3304136395454407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19896352291107178},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10973629355430603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825939655303955},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6331340670585632},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5774083137512207},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.530971884727478},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5112366676330566},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.50528484582901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45383456349372864},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4528369605541229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4287570118904114},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3683604598045349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3462578058242798},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3304136395454407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19896352291107178},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10973629355430603},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3228735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982615.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fbad7bbce98e4ae691d889a0b34d8ad2","is_oa":true,"landing_page_url":"https://doaj.org/article/fbad7bbce98e4ae691d889a0b34d8ad2","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":"IEEE Access, Vol 10, Pp 131841-131854 (2022)","raw_type":"article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt2jk9986b","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2jk9986b","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3228735","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228735","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982615.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"},{"id":"https://openalex.org/F4320337697","display_name":"Center for Wireless Communications, University of California, San Diego","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312837350.pdf","grobid_xml":"https://content.openalex.org/works/W4312837350.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677409904","https://openalex.org/W1930624869","https://openalex.org/W2023835067","https://openalex.org/W2041094000","https://openalex.org/W2084021689","https://openalex.org/W2108598243","https://openalex.org/W2111993661","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2544587078","https://openalex.org/W2791092480","https://openalex.org/W2897833707","https://openalex.org/W2907492528","https://openalex.org/W2924114011","https://openalex.org/W2945827377","https://openalex.org/W2962810718","https://openalex.org/W2962960377","https://openalex.org/W2963285578","https://openalex.org/W2966535964","https://openalex.org/W2971842090","https://openalex.org/W2979750740","https://openalex.org/W2982681137","https://openalex.org/W2985739927","https://openalex.org/W2991380303","https://openalex.org/W2997997679","https://openalex.org/W3035649237","https://openalex.org/W3045049179","https://openalex.org/W3101553402","https://openalex.org/W3109991383","https://openalex.org/W3117877147","https://openalex.org/W3129131141","https://openalex.org/W3130417897","https://openalex.org/W3135991645","https://openalex.org/W4239510810","https://openalex.org/W4286544732","https://openalex.org/W4295224294","https://openalex.org/W4297709473","https://openalex.org/W4312571135","https://openalex.org/W6631190155","https://openalex.org/W6685562342","https://openalex.org/W6725762072","https://openalex.org/W6726873649","https://openalex.org/W6733148704","https://openalex.org/W6745537798","https://openalex.org/W6745935785","https://openalex.org/W6766261854","https://openalex.org/W6780017182"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W4233821346","https://openalex.org/W2282742543"],"abstract_inverted_index":{"Improvements":[0],"in":[1,17,56,131],"vehicular":[2],"perception":[3,26,43,57],"systems":[4,27],"over":[5],"the":[6,90,156],"last":[7],"decade":[8],"have":[9],"enabled":[10],"new":[11],"levels":[12],"of":[13,24,71,129,137,161],"safety":[14],"and":[15,36,141],"awareness":[16],"modern":[18],"production":[19],"vehicles.":[20],"However,":[21],"achievable":[22],"performance":[23],"these":[25,45],"is":[28,87,152],"bounded":[29],"by":[30,47,60,78],"sensor":[31,49],"limitations,":[32],"such":[33,39,94],"as":[34,40,89,173],"range,":[35],"environmental":[37],"factors,":[38],"occlusion.":[41],"Collaborative":[42],"circumvents":[44],"limitations":[46],"incorporating":[48],"data":[50],"from":[51],"multiple":[52,79],"sources":[53],"to":[54,92,100,108,170],"fill":[55],"gaps":[58],"experienced":[59],"an":[61,125,159],"individual":[62,80],"sources\u2019":[63],"sensors.":[64],"This":[65,85,112],"paper":[66],"explores":[67],"one":[68],"important":[69],"aspect":[70],"collaborative":[72],"perception:":[73],"simultaneously":[74],"associating":[75],"objects":[76],"detected":[77],"vehicles":[81],"with":[82,148],"each":[83],"other.":[84],"task":[86,122],"crucial":[88],"inability":[91],"perform":[93],"object":[95],"association":[96],"accurately":[97],"can":[98,106,167],"lead":[99,107],"duplicate":[101],"or":[102],"missed":[103],"detections,":[104],"which":[105],"unsafe":[109],"driving":[110],"behavior.":[111],"work":[113],"proposes":[114],"a":[115,132],"graph":[116],"neural":[117],"network":[118],"model":[119,157,166],"for":[120],"this":[121,165],"that":[123,164],"achieves":[124,158],"average":[126],"precision":[127],"(AP)":[128],"0.882":[130],"challenging":[133],"virtual":[134],"environment":[135],"consisting":[136],"25":[138],"unique,":[139],"simultaneous,":[140],"mobile":[142],"viewpoints.":[143],"A":[144],"simpler":[145],"real-world":[146,171],"scenario":[147],"two":[149],"static":[150],"viewpoints":[151],"also":[153],"evaluated":[154],"where":[155],"AP":[160],"0.998,":[162],"showing":[163],"readily":[168],"transfer":[169],"scenarios":[172],"well.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-01-05T00:00:00"}
