{"id":"https://openalex.org/W4408697205","doi":"https://doi.org/10.1109/itsc58415.2024.10920140","title":"Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception","display_name":"Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408697205","doi":"https://doi.org/10.1109/itsc58415.2024.10920140"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10920140","doi":"https://doi.org/10.1109/itsc58415.2024.10920140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920140","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"IEEE International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.10531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085224693","display_name":"Jiaru Zhong","orcid":"https://orcid.org/0009-0003-5701-1720","observed_orcids":["https://orcid.org/0009-0003-5701-1720"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaru Zhong","raw_affiliation_strings":["Shenzhen Automotive Research Institute, Beijing Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Automotive Research Institute, Beijing Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112280475","display_name":"Haibao Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibao Yu","raw_affiliation_strings":["Institute for AI Industry Research, Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for AI Industry Research, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459571","display_name":"Tianyi Zhu","orcid":"https://orcid.org/0000-0002-0811-8930","observed_orcids":["https://orcid.org/0000-0002-0811-8930"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Zhu","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046733329","display_name":"Jiahui Xu","orcid":"https://orcid.org/0000-0002-1861-6212","observed_orcids":["https://orcid.org/0000-0002-1861-6212","https://orcid.org/0009-0008-6190-1896"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Xu","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083490016","display_name":"Wenxian Yang","orcid":"https://orcid.org/0000-0002-1122-2990","observed_orcids":["https://orcid.org/0000-0002-1122-2990","https://orcid.org/0009-0005-3082-6422"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxian Yang","raw_affiliation_strings":["Institute for AI Industry Research, Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for AI Industry Research, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047496977","display_name":"Zaiqing Nie","orcid":"https://orcid.org/0000-0002-1134-2343","observed_orcids":["https://orcid.org/0000-0002-1134-2343"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaiqing Nie","raw_affiliation_strings":["Institute for AI Industry Research, Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for AI Industry Research, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109200871","display_name":"Chao Sun","orcid":"https://orcid.org/0009-0008-2456-7534","observed_orcids":["https://orcid.org/0009-0008-2456-7534"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Sun","raw_affiliation_strings":["Shenzhen Automotive Research Institute, Beijing Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Automotive Research Institute, Beijing Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3579,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.97739096,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"915","last_page":"922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8159000277519226,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8159000277519226,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.10429999977350235,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.03220000118017197,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vehicle-to-everything-communication","display_name":"vehicle-to-everything communication","score":0.8870000243186951},{"id":"https://openalex.org/keywords/3d-object-detection","display_name":"3D object detection","score":0.9120000004768372},{"id":"https://openalex.org/keywords/temporal-context","display_name":"temporal context","score":0.8489999771118164},{"id":"https://openalex.org/keywords/communication-interruption","display_name":"communication interruption","score":0.5569999814033508},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.5630000233650208},{"id":"https://openalex.org/keywords/infrastructure-sensors","display_name":"infrastructure sensors","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6489850878715515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318938136100769},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33084142208099365},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09503781795501709},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/itsc58415.2024.10920140","doi":"https://doi.org/10.1109/itsc58415.2024.10920140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920140","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"IEEE International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},{"id":"pmh:oai:arXiv.org:2408.10531","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.10531","pdf_url":"https://arxiv.org/pdf/2408.10531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2408.10531","doi":"https://doi.org/10.48550/arxiv.2408.10531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2408.10531","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.10531","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.10531","pdf_url":"https://arxiv.org/pdf/2408.10531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7250000238418579}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408697205.pdf","grobid_xml":"https://content.openalex.org/works/W4408697205.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2905076052","https://openalex.org/W2925148167","https://openalex.org/W2963727135","https://openalex.org/W2974402281","https://openalex.org/W3109991383","https://openalex.org/W3201193904","https://openalex.org/W3209119436","https://openalex.org/W4206138072","https://openalex.org/W4225818300","https://openalex.org/W4286544732","https://openalex.org/W4312604822","https://openalex.org/W4312894406","https://openalex.org/W4312939270","https://openalex.org/W4313269758","https://openalex.org/W4323647389","https://openalex.org/W4380318404","https://openalex.org/W4383468913","https://openalex.org/W4386066469","https://openalex.org/W4386076547","https://openalex.org/W4386634496","https://openalex.org/W4387227862","https://openalex.org/W4387968434","https://openalex.org/W4390831799","https://openalex.org/W4390871713","https://openalex.org/W4390871936","https://openalex.org/W4390872772","https://openalex.org/W4390874305","https://openalex.org/W4390874598","https://openalex.org/W4391770187","https://openalex.org/W4392397377","https://openalex.org/W4394938939","https://openalex.org/W4400647741","https://openalex.org/W4401414525","https://openalex.org/W4402727396","https://openalex.org/W4402727875","https://openalex.org/W4402753386","https://openalex.org/W4411550789","https://openalex.org/W6842774165","https://openalex.org/W6858450473","https://openalex.org/W7133211840"],"related_works":["https://openalex.org/W4399955434","https://openalex.org/W4411599958","https://openalex.org/W4410706716","https://openalex.org/W7160282013","https://openalex.org/W4330338357","https://openalex.org/W4392397377","https://openalex.org/W7130590840","https://openalex.org/W4415149738","https://openalex.org/W7133203628","https://openalex.org/W4408323601"],"abstract_inverted_index":{"Infrastructure":[0],"sensors":[1],"installed":[2],"at":[3],"elevated":[4],"positions":[5],"offer":[6],"a":[7,66,96,114,128],"broader":[8],"perception":[9,34,47],"range":[10],"and":[11,18,36,56,86,108,147,161],"encounter":[12],"fewer":[13],"occlusions.":[14],"Integrating":[15],"both":[16],"infrastructure":[17],"ego-vehicle":[19],"data":[20],"through":[21],"V2X":[22],"communication,":[23],"known":[24],"as":[25],"vehicle-infrastructure":[26],"cooperation,":[27],"has":[28],"shown":[29],"considerable":[30],"advantages":[31],"in":[32,41,163],"enhancing":[33],"capabilities":[35],"addressing":[37],"corner":[38],"cases":[39],"encountered":[40],"single-vehicle":[42],"autonomous":[43],"driving.":[44],"However,":[45],"cooperative":[46,70],"still":[48],"faces":[49],"numerous":[50],"challenges,":[51],"including":[52],"limited":[53],"communication":[54,58,91,141,168,175],"bandwidth":[55],"practical":[57],"interruptions.":[59,142,176],"In":[60],"this":[61],"paper,":[62],"we":[63,94],"propose":[64,95],"CTCE,":[65],"novel":[67],"framework":[68,75],"for":[69],"3D":[71],"object":[72],"detection.":[73],"This":[74],"transmits":[76],"queries":[77,138],"with":[78],"temporal":[79,106,116,122],"contexts":[80,117],"enhancement,":[81],"effectively":[82],"balancing":[83],"transmission":[84],"efficiency":[85],"performance":[87],"to":[88,100,124,134,140,174],"accommodate":[89],"real-world":[90],"conditions.":[92],"Additionally,":[93],"temporal-guided":[97],"fusion":[98,111],"module":[99,131],"further":[101],"improve":[102],"performance.":[103,126],"The":[104],"roadside":[105],"enhancement":[107],"vehicle-side":[109],"spatial-temporal":[110],"together":[112],"constitute":[113],"multi-level":[115],"integration":[118],"mechanism,":[119],"fully":[120],"leveraging":[121],"information":[123],"enhance":[125],"Furthermore,":[127],"motion-aware":[129],"reconstruction":[130],"is":[132],"introduced":[133],"recover":[135],"lost":[136],"road-side":[137],"due":[139],"Experimental":[143],"results":[144],"on":[145],"V2X-Seq":[146],"V2X-Sim":[148],"datasets":[149],"demonstrate":[150],"that":[151],"CTCE":[152],"outperforms":[153],"the":[154],"baseline":[155],"QUEST,":[156],"achieving":[157],"improvements":[158],"of":[159],"3.8%":[160],"1.3%":[162],"mAP,":[164],"respectively.":[165],"Experiments":[166],"under":[167],"interruption":[169],"conditions":[170],"validate":[171],"CTCE's":[172],"robustness":[173]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-03-21T00:00:00"}