{"id":"https://openalex.org/W7118582083","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310217","title":"Filtering Noise: A Real-World Evaluation of False Associations in V2X-Based Sensor Sharing Across Diverse Road Users","display_name":"Filtering Noise: A Real-World Evaluation of False Associations in V2X-Based Sensor Sharing Across Diverse Road Users","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118582083","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310217"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-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/A5007255322","display_name":"Tengfei Lyu","orcid":"https://orcid.org/0000-0002-2158-0740"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Tengfei Lyu","raw_affiliation_strings":["School of Computer Science & IT, University College,Nasc Research,Cork,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & IT, University College,Nasc Research,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056922928","display_name":"Florian A. Schiegg","orcid":"https://orcid.org/0000-0002-6889-4878"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian A. Schiegg","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082176443","display_name":"Clarissa B\u00f6ker","orcid":null},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Clarissa B\u00f6ker","raw_affiliation_strings":["German Aerospace Center,Institute of Transportation Systems,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Aerospace Center,Institute of Transportation Systems,Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122194790","display_name":"Md Noor-A-Rahim","orcid":null},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Md Noor-A-Rahim","raw_affiliation_strings":["School of Computer Science & IT, University College,Nasc Research,Cork,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & IT, University College,Nasc Research,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052490102","display_name":"Dirk Pesch","orcid":"https://orcid.org/0000-0001-9706-5705"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Dirk Pesch","raw_affiliation_strings":["School of Computer Science & IT, University College,Nasc Research,Cork,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & IT, University College,Nasc Research,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122232927","display_name":"Aisling O\u2019Driscoll","orcid":null},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Aisling O\u2019Driscoll","raw_affiliation_strings":["School of Computer Science & IT, University College,Nasc Research,Cork,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & IT, University College,Nasc Research,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007255322"],"corresponding_institution_ids":["https://openalex.org/I27577105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56526342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.2842999994754791,"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":0.2842999994754791,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.2011999934911728,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.11050000041723251,"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/perception","display_name":"Perception","score":0.6187999844551086},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5655999779701233},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49779999256134033},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46459999680519104},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45179998874664307},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39879998564720154},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3856000006198883},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.31209999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383000016212463},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6187999844551086},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33390000462532043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:221664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/VTC2025-Fall65116.2025.11310217>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4654161334037781,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2979319656","https://openalex.org/W3118240751","https://openalex.org/W4200139039","https://openalex.org/W4206519819","https://openalex.org/W4286248432","https://openalex.org/W4319027861","https://openalex.org/W4383066578","https://openalex.org/W4383262546","https://openalex.org/W4400231839","https://openalex.org/W4400701967","https://openalex.org/W4401114209","https://openalex.org/W4406324185","https://openalex.org/W4411949817"],"related_works":[],"abstract_inverted_index":{"The":[0,125],"Collective":[1,59],"Perception":[2,60],"Service":[3],"(CPS)":[4],"enables":[5],"vehicles":[6],"and":[7,35,70,158,199,211,245,258],"infrastructure":[8],"to":[9,15,87,111,114,136,159,175,252],"cooperatively":[10],"share":[11],"local":[12],"sensor":[13,106,221],"measurements":[14,139,177],"extend":[16],"their":[17,26,33,233],"perception":[18,144],"range":[19],"for":[20,57,78,96,224],"a":[21,169,185,195,241,250,263],"more":[22,94,109],"comprehensive":[23],"understanding":[24],"of":[25,45,72,82,156,167,256],"environment.":[27],"Although":[28],"CPS":[29],"transmissions":[30,44],"are":[31,64],"useful,":[32],"frequency":[34,71],"redundancy":[36],"can":[37,85,122],"saturate":[38],"the":[39,79,115,142,154,165,203,237,254],"vehicular":[40],"communication":[41],"channel":[42],"hindering":[43],"other":[46],"critical":[47],"messages.":[48],"To":[49],"mitigate":[50],"this,":[51],"ETSI":[52,88,157],"has":[53,130,150],"specified":[54],"generation":[55,89,145],"rules":[56,90],"invoking":[58],"Messages":[61],"(CPMs),":[62],"which":[63],"mainly":[65],"based":[66,183],"on":[67,184,202],"objects\u2019":[68],"dynamics":[69],"reporting":[73],"but":[74,147],"do":[75],"not":[76],"account":[77],"perceptual":[80],"accuracy":[81],"measurements.":[83],"This":[84],"lead":[86],"potentially":[91],"being":[92],"invoked":[93],"frequently":[95],"inaccurately":[97],"sensed":[98],"objects,":[99],"unnecessarily":[100],"consuming":[101],"network":[102],"resources.":[103],"Furthermore,":[104],"inaccurate":[105],"data":[107],"is":[108,197],"likely":[110],"be":[112,180],"matched":[113],"incorrect":[116],"object":[117,133],"track,":[118],"yielding":[119],"information":[120],"that":[121,172,178,192],"mislead":[123],"decision-making.":[124],"CAR-2-CAR":[126],"Communication":[127],"Consortium":[128],"(C2C-CC)":[129],"proposed":[131],"an":[132],"quality":[134],"pre-filter":[135,171,251],"remove":[137],"poor-quality":[138],"before":[140],"triggering":[141],"collective":[143],"rules,":[146],"its":[148,247],"complexity":[149],"hindered":[151],"deployment.":[152],"At":[153],"request":[155],"hasten":[160],"deployment,":[161],"this":[162],"paper":[163],"explores":[164],"feasibility":[166],"proposing":[168],"\u2019simple\u2019":[170],"will":[173],"attempt":[174],"discard":[176],"would":[179],"falsely":[181],"associated":[182,260],"position":[186],"error":[187,222],"measure-based":[188,243],"threshold.":[189],"We":[190,235],"find":[191],"implementing":[193],"such":[194],"filter":[196],"complex":[198],"highly":[200],"dependent":[201],"environmental":[204],"topology,":[205],"road":[206,226],"user":[207],"type,":[208],"geo-spatial":[209],"density":[210],"temporal":[212],"factors.":[213],"Specifically,":[214],"we":[215],"investigate":[216],"false":[217,257],"associations":[218],"under":[219],"different":[220],"ranges":[223],"diverse":[225],"users":[227],"across":[228],"4":[229],"urban":[230],"intersections,":[231],"detailing":[232],"causation.":[234],"discuss":[236],"challenges":[238],"in":[239,262],"setting":[240],"distance":[242],"threshold":[244],"evaluate":[246],"implications":[248],"as":[249],"reduce":[253],"number":[255],"weakly":[259],"objects":[261],"CPM.":[264]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-01-08T00:00:00"}