{"id":"https://openalex.org/W2918001027","doi":"https://doi.org/10.1109/glocom.2018.8647293","title":"Framework for Cooperative Perception of Intelligent Vehicles: Using Improved Neighbor Discovery","display_name":"Framework for Cooperative Perception of Intelligent Vehicles: Using Improved Neighbor Discovery","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2918001027","doi":"https://doi.org/10.1109/glocom.2018.8647293","mag":"2918001027"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647293","is_oa":false,"landing_page_url":"http://doi.org/10.1109/glocom.2018.8647293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5100634362","display_name":"Lina Zhu","orcid":"https://orcid.org/0000-0003-2315-0864"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lina Zhu","raw_affiliation_strings":["Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015340798","display_name":"Changle Li","orcid":"https://orcid.org/0000-0003-2568-8908"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changle Li","raw_affiliation_strings":["Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040978564","display_name":"Tom H. Luan","orcid":"https://orcid.org/0000-0002-5215-7443"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tom H. Luan","raw_affiliation_strings":["Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017093495","display_name":"Jianjia Yi","orcid":"https://orcid.org/0000-0003-3361-1994"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjia Yi","raw_affiliation_strings":["Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, State Key Laboratory of Integrated Services Networks, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036000787","display_name":"Guoqiang Mao","orcid":"https://orcid.org/0000-0002-3598-4949"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guoqiang Mao","raw_affiliation_strings":["University of Technology, School of Computing and Communications, Sydney, NSW, 2007, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, School of Computing and Communications, Sydney, NSW, 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100634362"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17328521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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":0.9926999807357788,"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/neighbor-discovery-protocol","display_name":"Neighbor Discovery Protocol","score":0.8201581239700317},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.8157488107681274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7455039024353027},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.693366289138794},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.6010754704475403},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5751758217811584},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5571531653404236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5193918347358704},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4986562728881836},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4760306179523468},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4187714457511902},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29373952746391296},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1936628818511963},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1296916902065277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12437853217124939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10530266165733337},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.09280243515968323},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.09114670753479004}],"concepts":[{"id":"https://openalex.org/C165932591","wikidata":"https://www.wikidata.org/wiki/Q1547947","display_name":"Neighbor Discovery Protocol","level":4,"score":0.8201581239700317},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8157488107681274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455039024353027},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.693366289138794},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.6010754704475403},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5751758217811584},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5571531653404236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5193918347358704},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4986562728881836},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4760306179523468},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4187714457511902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29373952746391296},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1936628818511963},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1296916902065277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12437853217124939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10530266165733337},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.09280243515968323},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.09114670753479004},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.0},{"id":"https://openalex.org/C35341882","wikidata":"https://www.wikidata.org/wiki/Q8795","display_name":"Internet Protocol","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2018.8647293","is_oa":false,"landing_page_url":"http://doi.org/10.1109/glocom.2018.8647293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134565","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/134565","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1992690998","https://openalex.org/W1993020589","https://openalex.org/W2025145583","https://openalex.org/W2057467539","https://openalex.org/W2122092743","https://openalex.org/W2131869563","https://openalex.org/W2156924549","https://openalex.org/W2181211032","https://openalex.org/W2236297913","https://openalex.org/W2339875908","https://openalex.org/W2421130936","https://openalex.org/W2481223935","https://openalex.org/W2504001346","https://openalex.org/W2585864356","https://openalex.org/W2588221994","https://openalex.org/W2752328393","https://openalex.org/W2763890377","https://openalex.org/W2772875238","https://openalex.org/W3101945213","https://openalex.org/W6648242942","https://openalex.org/W6721347641","https://openalex.org/W6744825834"],"related_works":["https://openalex.org/W2342458873","https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W2481223935","https://openalex.org/W3013548656","https://openalex.org/W2996434655","https://openalex.org/W2610766931","https://openalex.org/W3164536451","https://openalex.org/W2169941060"],"abstract_inverted_index":{"\u00a9":[0],"2018":[1],"IEEE.":[2],"Neighbor":[3],"discovery,":[4,40,128],"providing":[5],"the":[6,25,76,80,87,99,113,125,129],"neighbor":[7,65,84,103,127],"information":[8],"by":[9,60],"broadcasting":[10],"discovery":[11,66,85,104,114],"messages,":[12],"is":[13,106,134],"a":[14,38,44,52,94],"promising":[15],"solution":[16],"for":[17,37,55],"cooperative":[18,56,132],"perception":[19,57,133],"of":[20,33,58,83,122,131],"Intelligent":[21],"Vehicles":[22],"(IVs).":[23],"However,":[24],"high":[26],"vehicle":[27,88],"mobility":[28,89],"and":[29,90,116],"severe":[30],"channel":[31,91],"randomness":[32,92],"IV":[34,140],"environments":[35],"call":[36],"frequent":[39],"which":[41],"results":[42,145],"in":[43,138],"superabundant":[45],"overhead.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"new":[53],"framework":[54,73],"IVs":[59],"novelly":[61],"introducing":[62],"an":[63,71,101],"improved":[64,126],"method.":[67],"We":[68],"first":[69],"establish":[70],"analytical":[72],"to":[74,108],"capture":[75],"quantitive":[77],"relation":[78],"between":[79,112],"hitting":[81],"probability":[82],"with":[86,148],"using":[93],"closed-form":[95],"expression.":[96],"Based":[97],"on":[98],"analysis,":[100],"adaptive":[102],"method":[105],"developed":[107],"adaptively":[109],"make":[110],"tradeoff":[111],"accuracy":[115],"overhead":[117],"at":[118],"varying":[119],"driving":[120],"status":[121],"IVs.":[123],"Applying":[124],"process":[130],"discussed.":[135],"Accordingly,":[136],"simulations":[137],"three":[139],"scenarios":[141],"are":[142,146],"conducted":[143],"whose":[144],"consistent":[147],"our":[149],"analysis.":[150]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
