{"id":"https://openalex.org/W4285011224","doi":"https://doi.org/10.23919/ecc55457.2022.9838060","title":"Design of a new measurable approach for the qualification of the behaviour of an autonomous vehicle","display_name":"Design of a new measurable approach for the qualification of the behaviour of an autonomous vehicle","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285011224","doi":"https://doi.org/10.23919/ecc55457.2022.9838060"},"language":"en","primary_location":{"id":"doi:10.23919/ecc55457.2022.9838060","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc55457.2022.9838060","pdf_url":null,"source":{"id":"https://openalex.org/S4363607908","display_name":"2022 European Control Conference (ECC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 European Control Conference (ECC)","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/A5021158196","display_name":"Yacine Mezali","orcid":"https://orcid.org/0000-0003-1912-9093"},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yacine Mezali","raw_affiliation_strings":["Institute of Research and Technology SystemX"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology SystemX","institution_ids":["https://openalex.org/I3018083178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035106745","display_name":"Mohamed Idriss Khaledi","orcid":null},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Idriss Khaledi","raw_affiliation_strings":["Institute of Research and Technology SystemX"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology SystemX","institution_ids":["https://openalex.org/I3018083178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002982955","display_name":"Lo\u00efc Coquelin","orcid":"https://orcid.org/0000-0001-5834-252X"},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]},{"id":"https://openalex.org/I4210107682","display_name":"Laboratoire National de M\u00e9trologie et d'Essais","ror":"https://ror.org/01ph39d13","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210107682"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Loic Coquelin","raw_affiliation_strings":["Institute of Research and Technology SystemX","National laboratory for metrology and testing (LNE), France"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology SystemX","institution_ids":["https://openalex.org/I3018083178"]},{"raw_affiliation_string":"National laboratory for metrology and testing (LNE), France","institution_ids":["https://openalex.org/I4210107682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014985136","display_name":"R\u00e9mi R\u00e9gnier","orcid":null},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]},{"id":"https://openalex.org/I4210107682","display_name":"Laboratoire National de M\u00e9trologie et d'Essais","ror":"https://ror.org/01ph39d13","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210107682"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Regnier","raw_affiliation_strings":["Institute of Research and Technology SystemX","National laboratory for metrology and testing (LNE), France"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology SystemX","institution_ids":["https://openalex.org/I3018083178"]},{"raw_affiliation_string":"National laboratory for metrology and testing (LNE), France","institution_ids":["https://openalex.org/I4210107682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070944579","display_name":"Jordan S. Martin","orcid":"https://orcid.org/0000-0001-8704-6076"},"institutions":[{"id":"https://openalex.org/I3018083178","display_name":"Institut de Recherche Technologique SystemX","ror":"https://ror.org/03crmsn52","country_code":"FR","type":"facility","lineage":["https://openalex.org/I3018083178"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jordan Martin","raw_affiliation_strings":["Institute of Research and Technology SystemX","AVSimulation"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Technology SystemX","institution_ids":["https://openalex.org/I3018083178"]},{"raw_affiliation_string":"AVSimulation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021158196"],"corresponding_institution_ids":["https://openalex.org/I3018083178"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03886256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"867","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9639000296592712,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7376455068588257},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7136123180389404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912263035774231},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5990893840789795},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5298851728439331},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.46929532289505005},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4596109390258789},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4559292793273926},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4430273473262787},{"id":"https://openalex.org/keywords/scenario-testing","display_name":"Scenario testing","score":0.4263342022895813},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36719805002212524},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3651489019393921},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26620298624038696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22721287608146667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2211165428161621},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19168496131896973}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7376455068588257},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7136123180389404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912263035774231},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5990893840789795},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5298851728439331},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.46929532289505005},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4596109390258789},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4559292793273926},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4430273473262787},{"id":"https://openalex.org/C80519477","wikidata":"https://www.wikidata.org/wiki/Q3532236","display_name":"Scenario testing","level":3,"score":0.4263342022895813},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36719805002212524},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3651489019393921},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26620298624038696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22721287608146667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2211165428161621},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19168496131896973},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc55457.2022.9838060","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc55457.2022.9838060","pdf_url":null,"source":{"id":"https://openalex.org/S4363607908","display_name":"2022 European Control Conference (ECC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"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/W259855920","https://openalex.org/W1894414046","https://openalex.org/W2025112775","https://openalex.org/W2046689939","https://openalex.org/W2092187344","https://openalex.org/W2095904408","https://openalex.org/W2143326696","https://openalex.org/W2240306106","https://openalex.org/W2795485095","https://openalex.org/W3208133533","https://openalex.org/W4295306962","https://openalex.org/W4297781990","https://openalex.org/W6690128809"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W4317634134","https://openalex.org/W2981729160","https://openalex.org/W4310743282","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311"],"abstract_inverted_index":{"The":[0,79],"safety":[1,43,60],"assessment":[2],"of":[3,18,24,35,37,45,67,73,81,128,134,144],"autonomous":[4,25],"driving":[5],"sys-tem":[6],"is":[7,54,156],"a":[8,51,64,104,141,147],"major":[9],"challenge":[10],"in":[11,20,70],"the":[12,16,33,42,71,74,121,125,132],"automotive":[13],"industry":[14],"and":[15,22,103,158,167],"role":[17],"simulation":[19],"development":[21],"testing":[23],"vehicles":[26,59],"has":[27],"become":[28],"predominant":[29],"to":[30,40,56,93,96,119,139],"significantly":[31],"reduce":[32],"hundreds":[34],"millions":[36],"kilometers":[38],"required":[39],"demonstrate":[41],"performance":[44,61],"such":[46],"systems.":[47],"In":[48],"this":[49],"paper,":[50],"novel":[52],"methodology":[53],"presented":[55],"assess":[57],"automated":[58],"based":[62],"on":[63,109],"multi-factorial":[65],"analysis":[66],"severity":[68,82],"indicators":[69,83,102],"vicinity":[72],"self-driving":[75],"car":[76],"under":[77],"test.":[78],"set":[80,127],"includes":[84],"commonly":[85],"used":[86,118],"time":[87,152],"intervals":[88],"(Inter":[89],"Vehicular":[90],"Time,":[91],"Time":[92,95],"Collision,":[94],"Steer,\u2026),":[97],"distance-based":[98],"indicators,":[99],"traffic":[100],"congestion":[101],"newly":[105],"developed":[106],"indicator":[107],"relying":[108],"overlapping":[110],"geometrical":[111],"regions.":[112],"Unsupervised":[113],"clustering":[114],"techniques":[115],"are":[116,161],"then":[117],"investigate":[120],"correlations,":[122],"depen-dence":[123],"among":[124],"whole":[126],"indicators.":[129],"To":[130],"address":[131],"problem":[133],"combining":[135],"these":[136],"heterogeneous":[137],"quantities":[138],"derive":[140],"global":[142],"measure":[143],"dangerousness":[145],"for":[146],"given":[148],"scenario":[149],"at":[150],"all":[151],"steps,":[153],"appropriate":[154],"scaling":[155],"performed":[157],"aggregation":[159],"methods":[160],"tested":[162],"against":[163],"various":[164],"cut-in,":[165],"cut-out":[166],"cut-through":[168],"scenarios.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
