{"id":"https://openalex.org/W4395664840","doi":"https://doi.org/10.1109/mvt.2024.3387648","title":"Machine Learning-Aided Cooperative Localization under A Dense Urban Environment: Demonstrates Universal Feasibility","display_name":"Machine Learning-Aided Cooperative Localization under A Dense Urban Environment: Demonstrates Universal Feasibility","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4395664840","doi":"https://doi.org/10.1109/mvt.2024.3387648"},"language":"en","primary_location":{"id":"doi:10.1109/mvt.2024.3387648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mvt.2024.3387648","pdf_url":null,"source":{"id":"https://openalex.org/S98855836","display_name":"IEEE Vehicular Technology Magazine","issn_l":"1556-6072","issn":["1556-6072","1556-6080"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Vehicular Technology Magazine","raw_type":"journal-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/A5100667504","display_name":"Hoon Lee","orcid":"https://orcid.org/0000-0003-0753-8324"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoon Lee","raw_affiliation_strings":["Department of Electrical Engineering and the Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology, Ulsan, Korea"],"raw_orcid":"https://orcid.org/0000-0003-0753-8324","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152386","display_name":"Hong Ki Kim","orcid":"https://orcid.org/0000-0003-3618-4326"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong Ki Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0003-3618-4326","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169797","display_name":"Seung Hyun Oh","orcid":"https://orcid.org/0009-0005-5828-4637"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung Hyun Oh","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0009-0005-5828-4637","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460354","display_name":"Sang Hyun Lee","orcid":"https://orcid.org/0000-0001-5385-2061"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang Hyun Lee","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0001-5385-2061","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8654,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72046499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"3","first_page":"78","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":0.9973000288009644,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.4904331862926483},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3628818988800049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3380270004272461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4904331862926483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3628818988800049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3380270004272461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mvt.2024.3387648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mvt.2024.3387648","pdf_url":null,"source":{"id":"https://openalex.org/S98855836","display_name":"IEEE Vehicular Technology Magazine","issn_l":"1556-6072","issn":["1556-6072","1556-6080"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Vehicular Technology Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G657851372","display_name":null,"funder_award_id":"2021-0-00467","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7083169588","display_name":null,"funder_award_id":"2022R1A5A1027646","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G826691646","display_name":null,"funder_award_id":"2021R1I1A3054575","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2048294994","https://openalex.org/W2212547592","https://openalex.org/W2765955268","https://openalex.org/W2804346170","https://openalex.org/W2890687815","https://openalex.org/W2891899936","https://openalex.org/W2953303875","https://openalex.org/W2961266848","https://openalex.org/W3004380378","https://openalex.org/W3109811682","https://openalex.org/W3139539396","https://openalex.org/W3162881616","https://openalex.org/W3183282730","https://openalex.org/W3213646907","https://openalex.org/W4210894942"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Future":[0],"wireless":[1],"network":[2,82,95],"technology":[3],"will":[4],"provide":[5],"automobiles":[6],"with":[7,122],"a":[8,36,108],"connectivity":[9],"feature":[10],"to":[11,64,80,101,125,147],"consolidate":[12],"the":[13,65,73,81,85,94,102,130,136,159],"concept":[14],"of":[15,28,67,72,111,132,139,162],"vehicular":[16,112,154],"networks":[17],"that":[18],"collaborate":[19],"in":[20,50,60,118,165],"conducting":[21],"cooperative":[22,163],"driving":[23,38],"tasks.":[24],"The":[25],"full":[26],"potential":[27],"connected":[29],"vehicles,":[30],"which":[31],"promises":[32],"road":[33],"safety":[34],"and":[35,56,70,84],"quality":[37],"experience,":[39],"can":[40],"be":[41],"leveraged":[42],"if":[43],"machine":[44],"learning":[45],"(ML)":[46],"models":[47],"guarantee":[48],"robustness":[49],"performing":[51],"core":[52],"functions,":[53],"including":[54],"localization":[55,113],"controls.":[57],"Location":[58],"awareness,":[59],"particular,":[61,166],"lends":[62],"itself":[63],"deployment":[66],"location-specific":[68],"services":[69],"improvement":[71],"operation":[74],"performance.":[75],"Localization":[76],"entails":[77],"direct":[78],"communication":[79],"infrastructure,":[83],"resulting":[86],"centralized":[87,103],"positioning":[88,137],"solutions":[89],"readily":[90],"become":[91],"intractable":[92],"as":[93],"scales":[96],"up.":[97],"As":[98,128],"an":[99],"alternative":[100],"solutions,":[104],"this":[105,149],"article":[106],"addresses":[107],"decentralized":[109],"principle":[110],"reinforced":[114],"by":[115],"ML":[116,140,150],"techniques":[117],"dense":[119,168],"urban":[120,169],"environments":[121],"frequent":[123],"inaccessibility":[124],"reliable":[126],"measurement.":[127],"such,":[129],"collaboration":[131],"multiple":[133],"vehicles":[134],"enhances":[135],"performance":[138],"approaches.":[141],"A":[142],"virtual":[143],"testbed":[144],"is":[145],"developed":[146],"validate":[148],"model":[151],"for":[152,167],"real-map":[153],"networks.":[155],"Numerical":[156],"results":[157],"demonstrate":[158],"universal":[160],"feasibility":[161],"localization,":[164],"area":[170],"configurations.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}