{"id":"https://openalex.org/W7166507437","doi":"https://doi.org/10.48550/arxiv.2606.27750","title":"Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment","display_name":"Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166507437","doi":"https://doi.org/10.48550/arxiv.2606.27750"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.27750","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27750","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.27750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139570265","display_name":"Wenzhao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wenzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059295869","display_name":"Shujun Han","orcid":"https://orcid.org/0000-0002-6257-7732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Shujun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076692827","display_name":"He Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Haixiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029818822","display_name":"Mengying Sun","orcid":"https://orcid.org/0000-0002-1137-7546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Mengying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017735092","display_name":"Bizhu Wang","orcid":"https://orcid.org/0000-0001-9259-9126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Bizhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139564566","display_name":"Xiaodong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xiaodong","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":0,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.47690001130104065,"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":0.47690001130104065,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.0722000002861023,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.04439999908208847,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computation","display_name":"Computation","score":0.656000018119812},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6377000212669373},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6337000131607056},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5654000043869019},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5421000123023987},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5307000279426575},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.438400000333786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784999966621399},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.656000018119812},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6377000212669373},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6337000131607056},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5654000043869019},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5421000123023987},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5307000279426575},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39570000767707825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C3020324080","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Linear acceleration","level":3,"score":0.3610000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3531000018119812},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.26969999074935913},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.27750","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27750","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.27750","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27750","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4179117977619171,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-vehicle":[0],"collaborative":[1],"perception":[2],"(MvCP)":[3],"is":[4,21],"considered":[5],"as":[6],"a":[7,31,53],"key":[8],"technology":[9],"to":[10,42,144,153],"facilitate":[11],"automated":[12],"driving":[13],"(AD),":[14],"where":[15],"real-time":[16],"MvCP":[17,84,125,140],"under":[18,146,155],"limited":[19,46,147,156],"resources":[20,149],"significant":[22],"for":[23,35,63,124],"reliable":[24],"AD.":[25],"In":[26],"this":[27,69],"paper,":[28],"we":[29,71,102,114],"formulate":[30],"lightweight":[32],"acceleration":[33,126],"scheme":[34,123],"intermediate-fusion":[36],"(IF)":[37],"MvCP,":[38],"which":[39],"can":[40,138],"adapt":[41],"both":[43],"situations":[44],"of":[45,87,108],"computation":[47,157],"and":[48,58,81,90,150],"communication":[49,148],"resources.":[50,158],"We":[51],"provide":[52],"relaxed":[54],"definition":[55],"conditional":[56,61],"additivity":[57,62],"analyze":[59],"the":[60,74,83,88,105,109,135],"various":[64],"DNN":[65],"linear":[66,98,120],"layers.":[67,99],"On":[68],"basis,":[70],"focus":[72],"on":[73,77],"IF-MvCP":[75],"based":[76],"additive":[78],"feature":[79,92],"fusion,":[80],"derive":[82],"precision":[85,106,128],"consistency":[86,107],"forward":[89],"backward":[91],"fusion":[93],"position":[94],"(FP)":[95],"adjustments":[96],"among":[97,119],"Through":[100],"experiments,":[101],"further":[103],"validate":[104],"FP":[110,117],"adjustment":[111,118],"method.":[112],"Moreover,":[113],"propose":[115],"an":[116],"layers":[121],"(FALL)":[122],"without":[127],"loss":[129],"theoretically.":[130],"Simulation":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"FALL":[137],"reduce":[139],"latency":[141],"by":[142,151],"up":[143,152],"74.8%":[145],"30.3%":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-30T00:00:00"}
