{"id":"https://openalex.org/W4401385973","doi":"https://doi.org/10.1145/3583740.3626612","title":"AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge","display_name":"AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4401385973","doi":"https://doi.org/10.1145/3583740.3626612"},"language":"en","primary_location":{"id":"doi:10.1145/3583740.3626612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583740.3626612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing","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/A5100409471","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-4307-2990"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, Nebraska, USA"],"raw_orcid":"https://orcid.org/0000-0002-4307-2990","affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, Nebraska, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101288131","display_name":"Yongjie Xue","orcid":"https://orcid.org/0009-0009-7994-9043"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongjie Xue","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, Nebraska, USA"],"raw_orcid":"https://orcid.org/0009-0009-7994-9043","affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, Nebraska, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114444376","display_name":"Yuru Zhang","orcid":"https://orcid.org/0000-0002-5891-9218"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuru Zhang","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, Nebraska, USA"],"raw_orcid":"https://orcid.org/0000-0002-5891-9218","affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, Nebraska, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322085","display_name":"Dawei Chen","orcid":"https://orcid.org/0000-0002-4162-1423"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor North America (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawei Chen","raw_affiliation_strings":["Toyota Motor North America R&amp;D, Mountain View, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-4162-1423","affiliations":[{"raw_affiliation_string":"Toyota Motor North America R&amp;D, Mountain View, California, USA","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009775690","display_name":"Kyungtae Han","orcid":"https://orcid.org/0000-0001-8291-5025"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor North America (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyungtae Han","raw_affiliation_strings":["Toyota Motor North America R&amp;D, Mountain View, California, USA"],"raw_orcid":"https://orcid.org/0000-0001-8291-5025","affiliations":[{"raw_affiliation_string":"Toyota Motor North America R&amp;D, Mountain View, California, USA","institution_ids":["https://openalex.org/I4210093665"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1034,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45627846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.71799635887146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026942372322083},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6546043157577515},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5833377838134766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16854935884475708},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16099649667739868},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10924914479255676}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.71799635887146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026942372322083},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6546043157577515},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5833377838134766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16854935884475708},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16099649667739868},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10924914479255676},{"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:10.1145/3583740.3626612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583740.3626612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5769153873","display_name":null,"funder_award_id":"OAC 2321699","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2424778531","https://openalex.org/W2792526074","https://openalex.org/W2823766194","https://openalex.org/W2889422404","https://openalex.org/W2906647810","https://openalex.org/W2948978827","https://openalex.org/W2963914175","https://openalex.org/W2968296999","https://openalex.org/W2981969281","https://openalex.org/W2985739927","https://openalex.org/W2997088169","https://openalex.org/W3014531610","https://openalex.org/W3039448353","https://openalex.org/W3110923198","https://openalex.org/W3154365011","https://openalex.org/W3161037238","https://openalex.org/W3161192096","https://openalex.org/W3170469318","https://openalex.org/W3203898101","https://openalex.org/W3208092684","https://openalex.org/W3211003315","https://openalex.org/W3214314028","https://openalex.org/W4232923432","https://openalex.org/W4236965008","https://openalex.org/W4295886237","https://openalex.org/W4306179760","https://openalex.org/W4365800044","https://openalex.org/W4379739829"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2389214306","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Cooperative":[0],"perception":[1,9,27,48],"is":[2,22],"the":[3,8,74,104,111,139,168,186],"key":[4],"approach":[5],"to":[6,24,84,99,122,137,179,194],"augment":[7],"of":[10,31,107,128,141,188],"connected":[11],"and":[12,70,90,92,102,130,154,157,203],"automated":[13],"vehicles":[14],"(CAVs)":[15],"toward":[16],"safe":[17],"autonomous":[18],"driving.":[19],"However,":[20],"it":[21],"challenging":[23],"achieve":[25,61],"real-time":[26,46],"sharing":[28],"for":[29],"hundreds":[30],"CAVs":[32],"in":[33],"large-scale":[34],"deployment":[35],"scenarios.":[36],"In":[37,73,110],"this":[38],"paper,":[39],"we":[40,63,77,114],"propose":[41],"AdaMap,":[42,62],"a":[43,65,79,93,116,131,158,163],"new":[44,80,117],"high-scalable":[45],"cooperative":[47],"system,":[49],"which":[50,197],"achieves":[51],"assured":[52],"percentile":[53],"end-to-end":[54],"latency":[55],"under":[56,162],"time-varying":[57],"network":[58],"dynamics.":[59],"To":[60],"design":[64,78,115],"tightly":[66],"coupled":[67],"data":[68,75,183],"plane":[69],"control":[71,112],"plane.":[72],"plane,":[76,113],"hybrid":[81],"localization":[82],"module":[83,98],"dynamically":[85],"switch":[86],"between":[87],"object":[88,119],"detection":[89],"tracking,":[91],"novel":[94,132],"point":[95,105,126,142],"cloud":[96,106],"representation":[97,140],"adaptively":[100],"compress":[101],"reconstruct":[103],"detected":[108],"objects.":[109],"graph-based":[118],"selection":[120],"method":[121],"un-select":[123],"excessive":[124],"multi-viewed":[125],"clouds":[127],"objects,":[129],"approximated":[133],"gradient":[134],"descent":[135],"algorithm":[136],"optimize":[138],"clouds.":[143],"We":[144],"implement":[145],"AdaMap":[146,176],"on":[147],"an":[148],"emulation":[149],"platform,":[150],"including":[151],"realistic":[152],"vehicle":[153],"server":[155],"computation":[156,204],"simulated":[159],"5G":[160],"network,":[161],"150-CAV":[164],"trace":[165],"collected":[166],"from":[167],"CARLA":[169],"simulator.":[170],"The":[171],"evaluation":[172],"results":[173],"show":[174],"that,":[175],"reduces":[177],"up":[178],"49x":[180],"average":[181],"transmission":[182],"size":[184],"at":[185],"cost":[187],"0.37":[189],"reconstruction":[190],"loss,":[191],"as":[192],"compared":[193],"state-of-the-art":[195],"solutions,":[196],"verifies":[198],"its":[199],"high":[200],"scalability,":[201],"adaptability,":[202],"efficiency.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
