{"id":"https://openalex.org/W4390779703","doi":"https://doi.org/10.3390/computers13010021","title":"Advanced Road Safety: Collective Perception for Probability of Collision Estimation of Connected Vehicles","display_name":"Advanced Road Safety: Collective Perception for Probability of Collision Estimation of Connected Vehicles","publication_year":2024,"publication_date":"2024-01-09","ids":{"openalex":"https://openalex.org/W4390779703","doi":"https://doi.org/10.3390/computers13010021"},"language":"en","primary_location":{"id":"doi:10.3390/computers13010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13010021","pdf_url":"https://www.mdpi.com/2073-431X/13/1/21/pdf?version=1704796418","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/13/1/21/pdf?version=1704796418","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048527802","display_name":"Sabrine Belmekki","orcid":"https://orcid.org/0000-0003-4394-9139"},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sabrine Belmekki","raw_affiliation_strings":["LEOST Laboratory, COSYS, Gustave Eiffel University, Villeneuve d\u2019Ascq, 59650 Lille, France"],"raw_orcid":"https://orcid.org/0000-0003-4394-9139","affiliations":[{"raw_affiliation_string":"LEOST Laboratory, COSYS, Gustave Eiffel University, Villeneuve d\u2019Ascq, 59650 Lille, France","institution_ids":["https://openalex.org/I4210154111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068430097","display_name":"Dominique Gruyer","orcid":"https://orcid.org/0000-0003-4453-5093"},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Gruyer","raw_affiliation_strings":["PICS-L Laboratory, University Gustave Eiffel, 25 all\u00e9e des Marronniers, 78000 Versailles, France"],"raw_orcid":"https://orcid.org/0000-0003-4453-5093","affiliations":[{"raw_affiliation_string":"PICS-L Laboratory, University Gustave Eiffel, 25 all\u00e9e des Marronniers, 78000 Versailles, France","institution_ids":["https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048527802"],"corresponding_institution_ids":["https://openalex.org/I4210154111"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.3679,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55631761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"13","issue":"1","first_page":"21","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.8591970205307007},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.7068621516227722},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6344763040542603},{"id":"https://openalex.org/keywords/probability-estimation","display_name":"Probability estimation","score":0.6319233179092407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5820187330245972},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5616846680641174},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4235912263393402},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3860202431678772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3011171519756317},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2643722891807556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20325231552124023},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.11093530058860779},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06835106015205383}],"concepts":[{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.8591970205307007},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.7068621516227722},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6344763040542603},{"id":"https://openalex.org/C2983703474","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Probability estimation","level":2,"score":0.6319233179092407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5820187330245972},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5616846680641174},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4235912263393402},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3860202431678772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3011171519756317},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2643722891807556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20325231552124023},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.11093530058860779},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06835106015205383},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers13010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13010021","pdf_url":"https://www.mdpi.com/2073-431X/13/1/21/pdf?version=1704796418","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2abeb885a994bf9a1843e66f9ed4375","is_oa":true,"landing_page_url":"https://doaj.org/article/d2abeb885a994bf9a1843e66f9ed4375","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 13, Iss 1, p 21 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers13010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers13010021","pdf_url":"https://www.mdpi.com/2073-431X/13/1/21/pdf?version=1704796418","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390779703.pdf","grobid_xml":"https://content.openalex.org/works/W4390779703.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1998828081","https://openalex.org/W2014371415","https://openalex.org/W2064421217","https://openalex.org/W2086111927","https://openalex.org/W2107151838","https://openalex.org/W2143534834","https://openalex.org/W2161371274","https://openalex.org/W2220876911","https://openalex.org/W2337842320","https://openalex.org/W2409065252","https://openalex.org/W2522153945","https://openalex.org/W2601868652","https://openalex.org/W2787765181","https://openalex.org/W2790897797","https://openalex.org/W2792621138","https://openalex.org/W2799867512","https://openalex.org/W2804201967","https://openalex.org/W2906647810","https://openalex.org/W2969447904","https://openalex.org/W2970989361","https://openalex.org/W2982335225","https://openalex.org/W2989935719","https://openalex.org/W3003993826","https://openalex.org/W3034378555","https://openalex.org/W3045897451","https://openalex.org/W3091903101","https://openalex.org/W3095095964","https://openalex.org/W3117877147","https://openalex.org/W3135487370","https://openalex.org/W3207992495","https://openalex.org/W3211089035","https://openalex.org/W3212817084","https://openalex.org/W4206703688","https://openalex.org/W4313307421","https://openalex.org/W4313459157","https://openalex.org/W4315781029","https://openalex.org/W4319032514","https://openalex.org/W4392267544","https://openalex.org/W4393393036","https://openalex.org/W6672240031","https://openalex.org/W6785280075"],"related_works":["https://openalex.org/W2150761772","https://openalex.org/W4213201576","https://openalex.org/W2765459612","https://openalex.org/W1525751611","https://openalex.org/W4285549518","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W2216265843","https://openalex.org/W2285971269","https://openalex.org/W2670504206"],"abstract_inverted_index":{"In":[0],"the":[1,28,41,59,65,76,88,91,97,102,120,124,132,139,148,198,203,207,221,242,254],"dynamic":[2],"landscape":[3],"of":[4,20,31,44,61,68,79,90,94,134,201,215,223,232,244,256],"vehicular":[5],"communication":[6,108],"systems,":[7],"connected":[8,80,179,257],"vehicles":[9,180],"(CVs)":[10],"present":[11],"unprecedented":[12],"capabilities":[13],"in":[14,96,174],"perception,":[15],"cooperation,":[16],"and,":[17],"notably,":[18],"probability":[19,30,50,63,93,145,176,188,195,231],"collision":[21,29,32,36,49,62,144,175,187,194,233],"management.":[22],"This":[23,53,111],"paper\u2019s":[24],"main":[25],"concern":[26],"is":[27,55,85,235],"estimation.":[33],"Achieving":[34],"effective":[35],"estimation":[37,60,234],"heavily":[38],"relies":[39],"on":[40,75],"sensor":[42],"perception":[43,78,136,196,226],"obstacles":[45],"and":[46,109,123,159,206,246],"a":[47,72,114,171,184],"critical":[48],"prediction":[51],"system.":[52],"paper":[54],"dedicated":[56],"to":[57,86,157,183,211,228,240],"refining":[58],"through":[64,106],"intentional":[66],"integration":[67],"CV":[69],"communications,":[70],"with":[71,154],"specific":[73],"focus":[74],"collective":[77,103,193],"vehicles.":[81],"The":[82,168],"primary":[83],"objective":[84],"enhance":[87],"understanding":[89],"potential":[92,140],"collisions":[95],"surrounding":[98],"environment":[99],"by":[100],"harnessing":[101],"insights":[104],"gathered":[105],"inter-vehicular":[107],"collaboration.":[110],"improvement":[112],"enables":[113],"superior":[115],"anticipation":[116,199],"capacity":[117,200],"for":[118,141],"both":[119,202],"driving":[121,149,204,249],"system":[122,150,205],"human":[125,152,208],"driver,":[126,209],"thereby":[127],"enhancing":[128],"road":[129,165,216],"safety.":[130,217],"Furthermore,":[131],"incorporation":[133],"extended":[135,225],"strategies":[137],"holds":[138],"more":[142,185],"accurate":[143],"estimation,":[146],"providing":[147],"or":[151],"driver":[153],"increased":[155],"time":[156],"react":[158],"make":[160],"informed":[161],"decisions,":[162],"further":[163],"fortifying":[164],"safety":[166],"measures.":[167],"results":[169],"underscore":[170],"significant":[172],"enhancement":[173],"awareness,":[177],"as":[178],"collectively":[181],"contribute":[182],"comprehensive":[186],"landscape.":[189],"Consequently,":[190],"this":[191],"heightened":[192],"improves":[197],"contributing":[210],"an":[212],"elevated":[213],"level":[214],"For":[218],"future":[219],"work,":[220],"exploration":[222],"our":[224],"techniques":[227],"achieve":[229],"real-time":[230],"proposed.":[236],"Such":[237],"endeavors":[238],"aim":[239],"drive":[241],"development":[243],"robust":[245],"anticipatory":[247],"autonomous":[248],"systems":[250],"that":[251],"truly":[252],"harness":[253],"benefits":[255],"vehicle":[258],"technologies.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
