{"id":"https://openalex.org/W4409364461","doi":"https://doi.org/10.1609/aaai.v39i14.33611","title":"BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays","display_name":"BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409364461","doi":"https://doi.org/10.1609/aaai.v39i14.33611"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i14.33611","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i14.33611","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v39i14.33611","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100394126","display_name":"Wentao Wang","orcid":"https://orcid.org/0000-0001-9919-7488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wentao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048611066","display_name":"Jiaqian Wang","orcid":"https://orcid.org/0009-0007-8982-9761"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaqian Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007384860","display_name":"Yuxin Deng","orcid":"https://orcid.org/0000-0002-1041-9855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxin Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062708755","display_name":"Guang Tan","orcid":"https://orcid.org/0000-0002-0658-8867"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guang Tan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"14","first_page":"14699","last_page":"14707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.7886230945587158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309105753898621},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.621436357498169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47263142466545105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3944244086742401},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32340872287750244},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20159870386123657},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18110206723213196}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7886230945587158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309105753898621},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.621436357498169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47263142466545105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3944244086742401},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32340872287750244},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20159870386123657},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18110206723213196},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i14.33611","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i14.33611","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i14.33611","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i14.33611","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Vehicle-to-infrastructure":[0],"(V2I)":[1],"cooperative":[2,85],"perception":[3,77,86],"systems":[4],"can":[5],"enhance":[6],"the":[7,23,43,93,120,125],"sensing":[8],"abilities":[9],"of":[10,21,56,138],"autonomous":[11],"vehicles.":[12],"Existing":[13],"V2I":[14,84],"solutions":[15],"often":[16],"consider":[17],"LiDARs":[18],"devices":[19],"instead":[20],"cameras,":[22],"most":[24],"prevalent":[25],"sensors":[26],"with":[27],"low":[28],"cost":[29],"and":[30,65,74,95,110,140],"wide":[31],"installation.":[32],"In":[33],"addition,":[34],"a":[35,82],"major":[36],"challenge":[37],"that":[38,70,88,130],"has":[39],"been":[40],"underexplored":[41],"is":[42],"time":[44],"asynchrony":[45,53],"between":[46],"image":[47],"frames":[48,91],"from":[49,92],"different":[50],"sources.":[51],"This":[52],"arises":[54],"because":[55],"clock":[57],"differences,":[58],"varying":[59],"times":[60],"involved":[61],"in":[62,136],"data":[63,72,121],"processing":[64],"transmission,":[66],"causing":[67],"uncertain":[68],"delays":[69],"complicate":[71],"alignment":[73],"potentially":[75],"reduce":[76],"accuracy.":[78],"We":[79],"propose":[80],"BEVSync,":[81],"camera-based":[83],"system":[87],"adaptively":[89],"aligns":[90],"ego-vehicle":[94],"infrastructure":[96],"by":[97],"compensating":[98],"for":[99],"motion":[100],"deviations.":[101],"Specifically,":[102],"we":[103],"develop":[104],"an":[105],"extractor-compensator":[106],"model":[107],"to":[108],"extract":[109],"predict":[111],"perceptual":[112],"features":[113],"using":[114],"historical":[115],"frames,":[116],"thereby":[117],"smoothing":[118],"out":[119],"misalignment.":[122],"Experiments":[123],"on":[124],"real-world":[126],"dataset":[127],"DAIR-V2X":[128],"show":[129],"our":[131],"approach":[132],"surpasses":[133],"existing":[134],"methods":[135],"terms":[137],"performance":[139],"robustness.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}