{"id":"https://openalex.org/W4406266558","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757592","title":"Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion","display_name":"Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266558","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757592"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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/A5113204549","display_name":"Thomas Billington","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Billington","raw_affiliation_strings":["Virginia Polytechnic Institute and State University,Department of Computer Science,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University,Department of Computer Science,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097358521","display_name":"Ansh Gwash","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ansh Gwash","raw_affiliation_strings":["Virginia Polytechnic Institute and State University,Department of Computer Science,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University,Department of Computer Science,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104298464","display_name":"Aadi Kothari","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aadi Kothari","raw_affiliation_strings":["Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109715057","display_name":"Lucas Izquierdo","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucas Izquierdo","raw_affiliation_strings":["Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072210019","display_name":"Timothy Talty","orcid":"https://orcid.org/0000-0002-5837-1248"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Talty","raw_affiliation_strings":["Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University,Department of Electrical and Computer Engineering,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113204549"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.2162,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54793404,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.781000018119812,"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":0.781000018119812,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.7542999982833862,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.6901999711990356,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/track","display_name":"Track (disk drive)","score":0.7023414373397827},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5574724078178406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5102589130401611},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.42884203791618347},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4235246181488037},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.4136638045310974},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37424829602241516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26010841131210327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17398345470428467}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7023414373397827},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5574724078178406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102589130401611},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.42884203791618347},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4235246181488037},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.4136638045310974},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37424829602241516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26010841131210327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17398345470428467},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320315144","display_name":"MathWorks","ror":"https://ror.org/01n8qtk87"},{"id":"https://openalex.org/F4320338284","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4210856988","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"In":[0],"the":[1,11,48,65,98,103,108,115,138,149,155,167],"rapidly":[2],"advancing":[3],"landscape":[4],"of":[5,13,67,73,105,107,117,119,154,171],"connected":[6],"and":[7,53,57,85,143,152,169],"automated":[8],"vehicles":[9],"(CAV),":[10],"integration":[12],"Vehicle-to-Everything":[14],"(V2X)":[15],"communication":[16],"in":[17,64,92,158],"traditional":[18],"fusion":[19,139],"systems":[20],"presents":[21],"a":[22,38],"promising":[23],"avenue":[24],"for":[25,88],"enhancing":[26],"vehicle":[27,33,128],"perception.":[28],"Addressing":[29],"current":[30],"limitations":[31],"with":[32,94],"sensing,":[34],"this":[35],"paper":[36],"proposes":[37],"novel":[39],"Vehicle-to-Vehicle":[40],"(V2V)":[41],"enabled":[42],"track":[43,70,89],"management":[44],"system":[45,113,157],"that":[46],"leverages":[47],"synergy":[49],"between":[50],"V2V":[51,78],"signals":[52,121],"detections":[54,75],"from":[55,133],"radar":[56],"camera":[58],"sensors.":[59,110,135],"The":[60,111],"core":[61],"innovation":[62],"lies":[63],"creation":[66],"independent":[68],"priority":[69],"lists,":[71],"consisting":[72],"fused":[74],"validated":[76],"through":[77,125],"communication.":[79],"This":[80],"approach":[81],"enables":[82],"more":[83],"flexible":[84],"resilient":[86],"thresholds":[87],"management,":[90],"particularly":[91],"scenarios":[93],"numerous":[95],"occlusions":[96],"where":[97],"tracked":[99],"objects":[100],"move":[101],"outside":[102],"field":[104],"view":[106],"perception":[109,134],"proposed":[112,156],"considers":[114],"implications":[116],"falsification":[118],"V2X":[120],"which":[122],"is":[123],"combated":[124],"an":[126],"initial":[127],"identification":[129],"process":[130],"using":[131],"detection":[132],"Presented":[136],"are":[137],"algorithm,":[140],"simulated":[141],"environments,":[142],"validation":[144],"mechanisms.":[145],"Experimental":[146],"results":[147],"demonstrate":[148],"improved":[150],"accuracy":[151],"robustness":[153],"common":[159],"driving":[160],"scenarios,":[161],"highlighting":[162],"its":[163],"potential":[164],"to":[165],"advance":[166],"reliability":[168],"efficiency":[170],"autonomous":[172],"vehicles.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}