{"id":"https://openalex.org/W4330338357","doi":"https://doi.org/10.48550/arxiv.2303.10552","title":"Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction","display_name":"Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction","publication_year":2023,"publication_date":"2023-03-19","ids":{"openalex":"https://openalex.org/W4330338357","doi":"https://doi.org/10.48550/arxiv.2303.10552"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2303.10552","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.10552","pdf_url":"https://arxiv.org/pdf/2303.10552","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.10552","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071406417","display_name":"Haibao Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu, Haibao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015473075","display_name":"Yingjuan Tang","orcid":"https://orcid.org/0000-0002-4838-7211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Yingjuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041031140","display_name":"Enze Xie","orcid":"https://orcid.org/0000-0001-6890-1049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Enze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010775737","display_name":"Jilei Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Jilei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059493432","display_name":"Jirui Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Jirui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752686","display_name":"Ping Luo","orcid":"https://orcid.org/0000-0002-6685-7950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Ping","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047496977","display_name":"Zaiqing Nie","orcid":"https://orcid.org/0000-0002-1134-2343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Zaiqing","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071406417"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9972000122070312,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/asynchrony","display_name":"Asynchrony (computer programming)","score":0.7803459167480469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.767971396446228},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7514399886131287},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47633177042007446},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4743719696998596},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.474240243434906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46454644203186035},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4597374200820923},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4485244154930115},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.43949949741363525},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43407493829727173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3989473879337311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32030659914016724},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.1562938094139099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1529519259929657},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09719717502593994}],"concepts":[{"id":"https://openalex.org/C2779019669","wikidata":"https://www.wikidata.org/wiki/Q25203946","display_name":"Asynchrony (computer programming)","level":3,"score":0.7803459167480469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767971396446228},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7514399886131287},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47633177042007446},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4743719696998596},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.474240243434906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46454644203186035},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4597374200820923},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4485244154930115},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.43949949741363525},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43407493829727173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3989473879337311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32030659914016724},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.1562938094139099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1529519259929657},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09719717502593994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2303.10552","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.10552","pdf_url":"https://arxiv.org/pdf/2303.10552","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2303.10552","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.10552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.10552","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.10552","pdf_url":"https://arxiv.org/pdf/2303.10552","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2534656837","https://openalex.org/W2374603670","https://openalex.org/W2061653780","https://openalex.org/W4300245965","https://openalex.org/W2414929729","https://openalex.org/W2585854369","https://openalex.org/W2963792515","https://openalex.org/W2410569288","https://openalex.org/W2944915449","https://openalex.org/W4307598759"],"abstract_inverted_index":{"Cooperatively":[0],"utilizing":[1],"both":[2],"ego-vehicle":[3],"and":[4,18,30,88],"infrastructure":[5,82],"sensor":[6],"data":[7,131],"can":[8,25],"significantly":[9],"enhance":[10],"autonomous":[11],"driving":[12],"perception":[13],"abilities.":[14],"However,":[15],"temporal":[16,78,137],"asynchrony":[17,138],"limited":[19],"wireless":[20],"communication":[21],"in":[22,57],"traffic":[23],"environments":[24],"lead":[26],"to":[27,53,84,98,101],"fusion":[28],"misalignment":[29],"impact":[31],"detection":[32,44,119],"performance.":[33],"This":[34],"paper":[35],"proposes":[36],"Feature":[37],"Flow":[38],"Net":[39],"(FFNet),":[40],"a":[41,48,95],"novel":[42],"cooperative":[43,59,118],"framework":[45],"that":[46,112],"uses":[47],"feature":[49,66,73,103,106],"flow":[50,104],"prediction":[51,107],"module":[52],"address":[54],"these":[55],"issues":[56],"vehicle-infrastructure":[58],"3D":[60],"object":[61],"detection.":[62],"Rather":[63],"than":[64,125],"transmitting":[65],"maps":[67],"extracted":[68],"from":[69],"still-images,":[70],"FFNet":[71,100],"transmits":[72],"flow,":[74],"which":[75],"leverages":[76],"the":[77,133],"coherence":[79],"of":[80,129],"sequential":[81],"frames":[83],"predict":[85],"future":[86],"features":[87],"compensate":[89],"for":[90],"asynchrony.":[91],"Additionally,":[92],"we":[93],"introduce":[94],"self-supervised":[96],"approach":[97],"enable":[99],"generate":[102],"with":[105],"ability.":[108],"Experimental":[109],"results":[110],"demonstrate":[111],"our":[113],"proposed":[114],"method":[115],"outperforms":[116],"existing":[117],"methods":[120],"while":[121],"requiring":[122],"no":[123],"more":[124],"1/10":[126],"transmission":[127],"cost":[128],"raw":[130],"on":[132],"DAIR-V2X":[134],"dataset":[135],"when":[136],"exceeds":[139],"200$ms$.":[140],"The":[141],"code":[142],"is":[143],"available":[144],"at":[145],"\\href{https://github.com/haibao-yu/FFNet-VIC3D}{https://github.com/haibao-yu/FFNet-VIC3D}.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}