{"id":"https://openalex.org/W7119081924","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310639","title":"A New Approach to Positioning Error Mitigation: How to Learn Via Safety Messages","display_name":"A New Approach to Positioning Error Mitigation: How to Learn Via Safety Messages","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7119081924","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310639"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310639","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/A5115842207","display_name":"Federico Pasquinucci","orcid":null},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]},{"id":"https://openalex.org/I4210161797","display_name":"Ferrari (Italy)","ror":"https://ror.org/05p859a12","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210161797"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Federico Pasquinucci","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy","institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114159951","display_name":"Mattia Andreani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161797","display_name":"Ferrari (Italy)","ror":"https://ror.org/05p859a12","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210161797"]},{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Andreani","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy","institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014500056","display_name":"Maria Luisa Merani","orcid":"https://orcid.org/0000-0003-4162-5042"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]},{"id":"https://openalex.org/I4210161797","display_name":"Ferrari (Italy)","ror":"https://ror.org/05p859a12","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210161797"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Luisa Merani","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering Enzo Ferrari,Modena,Italy","institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115842207"],"corresponding_institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61068544,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.47440001368522644,"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":0.47440001368522644,"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/T10655","display_name":"GNSS positioning and interference","score":0.13339999318122864,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.05270000174641609,"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/gnss-applications","display_name":"GNSS applications","score":0.6406999826431274},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.616100013256073},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5248000025749207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4941999912261963},{"id":"https://openalex.org/keywords/position-error","display_name":"Position error","score":0.4700999855995178},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3984000086784363},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.36899998784065247},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.3483000099658966},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.6406999826431274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347000002861023},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.616100013256073},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5248000025749207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4909000098705292},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.4700999855995178},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C2778027091","wikidata":"https://www.wikidata.org/wiki/Q25346003","display_name":"Satellite system","level":4,"score":0.33070001006126404},{"id":"https://openalex.org/C36301306","wikidata":"https://www.wikidata.org/wiki/Q179435","display_name":"Satellite navigation","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C30095986","wikidata":"https://www.wikidata.org/wiki/Q1035238","display_name":"Vehicular communication systems","level":5,"score":0.2985999882221222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C166212672","wikidata":"https://www.wikidata.org/wiki/Q2165162","display_name":"GNSS augmentation","level":4,"score":0.275299996137619},{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C202511199","wikidata":"https://www.wikidata.org/wiki/Q7239503","display_name":"Precise Point Positioning","level":4,"score":0.267300009727478},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.2614000141620636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25209999084472656},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310639","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6946125626564026}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2750669109","https://openalex.org/W2805567056","https://openalex.org/W2970989361","https://openalex.org/W3034372961","https://openalex.org/W3132615103","https://openalex.org/W4378978428","https://openalex.org/W4386352978","https://openalex.org/W4397026303"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"positioning":[1,51,81,226],"of":[2,65,149,181,186,199,224],"vehicles":[3,101,123,134,182,259],"and":[4,37,44,61,87,114,145,174,192,208,262],"vulnerable":[5],"road":[6,12],"users":[7],"is":[8,26,53,242,252],"critical":[9],"for":[10],"ensuring":[11],"safety.":[13],"Today\u2019s":[14],"localization":[15,47],"relies":[16],"on":[17,195],"the":[18,62,66,69,76,79,84,89,106,110,130,136,146,150,153,155,175,179,184,196,200,211,217,221,225,237,240,258],"Global":[19],"Navigation":[20],"Satellite":[21],"System":[22],"(GNSS),":[23],"but":[24],"it":[25,113],"often":[27],"compromised":[28],"by":[29],"signal":[30],"obstructions":[31],"due":[32],"to":[33,91,133,206,215,254],"urban":[34,165],"infrastructures,":[35],"buildings,":[36],"other":[38],"vehicles.":[39],"To":[40],"overcome":[41],"these":[42,122,203],"limitations":[43],"enhance":[45],"GNSS":[46],"accuracy,":[48],"a":[49,72,96,163,229],"cooperative":[50],"method":[52],"put":[54],"forth":[55],"that":[56,239],"leverages":[57],"direct":[58,142,171],"vehicular":[59,143],"communications":[60,144,173,264],"onboard":[63],"sensors":[64],"vehicle.":[67],"In":[68,120,162],"proposed":[70,156],"approach,":[71],"real-time":[73],"algorithm":[74],"selects":[75],"vehicle":[77,160],"with":[78],"lowest":[80],"error":[82,218,227,234,241],"as":[83,126],"anchor":[85,90,107],"node":[86],"mandates":[88],"broadcast":[92],"its":[93],"coordinates":[94],"via":[95],"suitable":[97],"message.":[98],"The":[99],"receiving":[100],"whose":[102],"sensing":[103],"region":[104],"includes":[105],"can":[108],"determine":[109],"distance":[111,151],"from":[112,152,247],"update":[115],"their":[116,187],"position":[117,188],"estimate":[118,148,185],"accordingly.":[119],"turn,":[121],"may":[124],"serve":[125],"secondary":[127,212],"anchors,":[128],"extending":[129],"correction":[131,251],"process":[132],"beyond":[135],"first":[137,176],"tier.":[138],"By":[139],"jointly":[140],"exploiting":[141],"local":[147],"anchor,":[154],"approach":[157],"achieves":[158],"accurate":[159],"localization.":[161],"reference":[164],"intersection,":[166],"taking":[167],"into":[168],"account":[169],"imperfect":[170,263],"vehicle-to-vehicle":[172],"tier":[177],"only,":[178],"percentage":[180],"improving":[183],"lies":[189],"between":[190],"36%":[191],"54%,":[193],"depending":[194],"penetration":[197],"rate":[198],"connected":[201,261],"vehicles;":[202],"values":[204],"raise":[205],"62%":[207],"88%":[209],"when":[210,249,256],"anchors":[213],"contribute":[214],"propagate":[216],"correction.":[219],"Furthermore,":[220],"statistical":[222],"distribution":[223],"exhibits":[228],"significant":[230],"shift":[231],"toward":[232],"lower":[233,243],"values,":[235],"raising":[236],"probability":[238],"than":[244],"6":[245],"m":[246],"0.05":[248],"no":[250],"introduced,":[253],"0.87":[255],"all":[257],"are":[260,265],"considered.":[266]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}