{"id":"https://openalex.org/W4308536695","doi":"https://doi.org/10.1109/nas55553.2022.9925525","title":"A Distributed Architecture for Cooperative Deep Learning System in Intelligent Vehicle Systems","display_name":"A Distributed Architecture for Cooperative Deep Learning System in Intelligent Vehicle Systems","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4308536695","doi":"https://doi.org/10.1109/nas55553.2022.9925525"},"language":"en","primary_location":{"id":"doi:10.1109/nas55553.2022.9925525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nas55553.2022.9925525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Architecture and Storage (NAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030187015","display_name":"Yucong Xiao","orcid":"https://orcid.org/0009-0007-0946-8397"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucong Xiao","raw_affiliation_strings":["School of EECE, Univ. of Chinese Academy of Sciences,Beijing,China","School of EECE, Univ. of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECE, Univ. of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of EECE, Univ. of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074507539","display_name":"Fei Qin","orcid":"https://orcid.org/0000-0003-1671-8968"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Qin","raw_affiliation_strings":["School of EECE, Univ. of Chinese Academy of Sciences,Beijing,China","School of EECE, Univ. of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECE, Univ. of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of EECE, Univ. of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":"https://orcid.org/0000-0002-0038-9816"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754862","display_name":"Yunsheng Wang","orcid":"https://orcid.org/0000-0002-9876-5356"},"institutions":[{"id":"https://openalex.org/I98947143","display_name":"California State Polytechnic University","ror":"https://ror.org/05by5hm18","country_code":"US","type":"education","lineage":["https://openalex.org/I98947143"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunsheng Wang","raw_affiliation_strings":["California State Polytechnic University,Department of Computer Science,Pomona,USA","Department of Computer Science, California State Polytechnic University, Pomona, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State Polytechnic University,Department of Computer Science,Pomona,USA","institution_ids":["https://openalex.org/I98947143"]},{"raw_affiliation_string":"Department of Computer Science, California State Polytechnic University, Pomona, USA","institution_ids":["https://openalex.org/I98947143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1015,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4001859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9722999930381775,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9706000089645386,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7661955952644348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591378688812256},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6088763475418091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5878115892410278},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4949771761894226},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4304611086845398},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42619380354881287},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41753238439559937},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3590103089809418},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3386540412902832},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3252182602882385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.10851281881332397}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7661955952644348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591378688812256},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6088763475418091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878115892410278},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4949771761894226},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4304611086845398},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42619380354881287},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41753238439559937},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3590103089809418},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3386540412902832},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3252182602882385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10851281881332397},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nas55553.2022.9925525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nas55553.2022.9925525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Architecture and Storage (NAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5}],"awards":[{"id":"https://openalex.org/G1401678802","display_name":null,"funder_award_id":"2021YFC3090204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4925991057","display_name":null,"funder_award_id":"CNS 2128346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2105934661","https://openalex.org/W2886851211","https://openalex.org/W2892636405","https://openalex.org/W2910151919","https://openalex.org/W2963163009","https://openalex.org/W3118608800","https://openalex.org/W3200702630","https://openalex.org/W4206220673","https://openalex.org/W4226365483","https://openalex.org/W6749781174","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1489511283"],"abstract_inverted_index":{"The":[0,20],"recent":[1],"proposed":[2,77,110,203],"deep":[3,68,96,112,154,166],"learning":[4,69,97,113,155,167],"system":[5,60,98],"is":[6],"a":[7,38,66,94,118,151,164],"promising":[8],"technology":[9],"to":[10,30,57,127,132,162,186,197],"extract":[11],"essential":[12],"information":[13,54],"from":[14,88,121],"vision":[15,28,44],"based":[16],"high":[17],"dimension":[18],"sensors.":[19],"current":[21],"intelligent":[22,72,141],"vehicle":[23,40,73,142],"systems":[24,74,143],"heavily":[25],"rely":[26],"on":[27],"sensors":[29,45],"be":[31,91,125,133,187],"aware":[32],"of":[33,117,137,150,201],"the":[34,84,109,138,148,199,202],"environment.":[35],"Even":[36],"though":[37],"single":[39,119,152],"may":[41,51,184],"have":[42,144],"several":[43],"installed,":[46],"view":[47],"and":[48,182],"range":[49],"restrictions":[50],"result":[52],"in":[53,78,103,147,160,173],"loss,":[55],"leading":[56],"incorrect":[58],"autopilot":[59],"decisions.":[61],"To":[62],"ease":[63],"this":[64,79,82,174],"limitation,":[65],"cooperative":[67,111,165],"architecture":[70],"for":[71],"has":[75,170,194],"been":[76,145,171,195],"paper.":[80],"In":[81],"architecture,":[83,114],"observed":[85],"raw":[86],"data":[87],"vehicles":[89],"will":[90],"processed":[92],"by":[93],"partitioned":[95],"with":[99],"convolution":[100],"layers":[101],"deployed":[102,196],"geographically":[104],"distributed":[105],"computation":[106],"units.":[107],"With":[108],"numerous":[115],"observations":[116],"object":[120],"various":[122,176],"views":[123],"can":[124],"utilized":[126],"increase":[128],"detection":[129],"accuracy.":[130],"As":[131],"expected,":[134],"almost":[135],"all":[136],"currently":[139],"available":[140],"designed":[146],"context":[149],"entity":[153],"system.":[156,204],"This":[157],"means":[158],"that":[159],"order":[161],"deploy":[163],"system,":[168],"which":[169],"discussed":[172],"paper,":[175],"aspects":[177],"such":[178],"as":[179],"computation,":[180],"communication,":[181],"storage":[183],"need":[185],"modified.":[188],"A":[189],"simple":[190],"but":[191],"representative":[192],"experiment":[193],"demonstrate":[198],"feasibility":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}