{"id":"https://openalex.org/W4409156983","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942730","title":"Collaborative Position and Orientation Tracking in mmWave Vehicular Systems Exploiting V2I and V2V Links","display_name":"Collaborative Position and Orientation Tracking in mmWave Vehicular Systems Exploiting V2I and V2V Links","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156983","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942730"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10942730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100416532","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0002-2338-6909"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["University of California,San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056278281","display_name":"Nuria Gonz\u00e1lez\u2010Prelcic","orcid":"https://orcid.org/0000-0002-0828-8454"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nuria Gonz\u00e1lez-Prelcic","raw_affiliation_strings":["University of California,San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005900553","display_name":"Takayuki Shimizu","orcid":"https://orcid.org/0000-0002-2727-842X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takayuki Shimizu","raw_affiliation_strings":["Toyota Motor North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Motor North America","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068050119","display_name":"Chinmay Mahabal","orcid":"https://orcid.org/0000-0001-8201-5561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chinmay Mahabal","raw_affiliation_strings":["Toyota Motor North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Motor North America","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":"407","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9961000084877014,"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":0.9961000084877014,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9959999918937683,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7146813273429871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899649500846863},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6558198928833008},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.587192714214325},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.4236948490142822},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39220428466796875},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2825571894645691},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.27824243903160095},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.19386592507362366},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.05310547351837158}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7146813273429871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899649500846863},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6558198928833008},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.587192714214325},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.4236948490142822},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39220428466796875},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2825571894645691},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.27824243903160095},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.19386592507362366},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.05310547351837158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10942730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G229606279","display_name":"RINGS: WISECOM - Wireless Integrated Sensing, Learning and Communication Networks","funder_award_id":"2433782","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W3157919628","https://openalex.org/W3166583960","https://openalex.org/W3201111605","https://openalex.org/W3203195302","https://openalex.org/W4212984498","https://openalex.org/W4288388768","https://openalex.org/W4313186634","https://openalex.org/W4381733064","https://openalex.org/W4383899715","https://openalex.org/W4385486401","https://openalex.org/W4391128540","https://openalex.org/W4391936215","https://openalex.org/W4399666247","https://openalex.org/W4400275577","https://openalex.org/W4401507875","https://openalex.org/W4402159877","https://openalex.org/W6854018404"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W1993670003","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2124125015","https://openalex.org/W2738302353","https://openalex.org/W1975173418","https://openalex.org/W2366008286","https://openalex.org/W2970295229","https://openalex.org/W2065854286"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"provide":[4],"a":[5,40,58,123],"collaborative":[6],"position":[7,104],"tracking":[8],"solution":[9],"exploiting":[10],"the":[11,23,27,30,53,63,78,82,116,169],"parameters":[12],"of":[13,26,43,115,168],"vehicle-to-infrastructure":[14],"(V2I)":[15],"and":[16,46,49,70,87,131],"vehicle-to-vehicle":[17],"(V2V)":[18],"links":[19],"to":[20,62],"significantly":[21],"improve":[22],"localization":[24,156],"accuracy":[25,157],"vehicles":[28,45,56,80,128],"in":[29,34,81,118],"group":[31,41,83],"that":[32,138],"are":[33,71,84,88,109,151],"non-line-of-sight":[35],"(NLOS)":[36],"conditions.":[37],"We":[38],"assume":[39],"size":[42],"three":[44],"unknown":[47],"orientation":[48,139],"clock":[50,147],"offsets":[51],"among":[52],"vehicles.":[54],"The":[55,106,154],"with":[57,161],"line-of-sight":[59],"(LOS)":[60],"channel":[61,92],"base":[64],"station":[65],"(BS)":[66],"act":[67],"as":[68],"anchors":[69],"localized":[72,89],"through":[73],"V2I":[74],"geometric":[75],"localization,":[76],"while":[77,146],"other":[79],"considered":[85,101],"targets":[86],"via":[90],"sidelink":[91],"parameters.":[93],"An":[94],"additional":[95],"Kalman":[96],"filter":[97],"(KF)":[98],"stage":[99],"is":[100,158],"for":[102,166],"vehicle":[103],"tracking.":[105],"proposed":[107],"methods":[108],"evaluated":[110],"based":[111],"on":[112],"realistic":[113],"simulations":[114],"channels":[117],"urban":[119],"canyon":[120],"areas":[121],"considering":[122],"single":[124],"BS":[125],"scenario,":[126],"where":[127],"frequently":[129],"enter":[130],"exit":[132],"NLOS":[133],"situations.":[134],"Simulation":[135],"results":[136],"indicate":[137],"offset":[140,148],"estimation":[141,149],"errors":[142,150,162],"remain":[143],"below":[144],"0.05\u00b0,":[145],"under":[152],"10ns.":[153],"average":[155],"0.2":[159],"m,":[160],"\u2264":[163],"0.7":[164],"m":[165],"90%":[167],"cases.":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
