{"id":"https://openalex.org/W4408793724","doi":"https://doi.org/10.1109/icves61986.2024.10928135","title":"How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception","display_name":"How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408793724","doi":"https://doi.org/10.1109/icves61986.2024.10928135"},"language":"en","primary_location":{"id":"doi:10.1109/icves61986.2024.10928135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves61986.2024.10928135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054710951","display_name":"Mert Keser","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mert Keser","raw_affiliation_strings":["Technical University of Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092849256","display_name":"Youssef Shoeb","orcid":"https://orcid.org/0009-0007-0606-387X"},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Youssef Shoeb","raw_affiliation_strings":["Continental Automotive Technologies GmbH,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Continental Automotive Technologies GmbH,Germany","institution_ids":["https://openalex.org/I147869694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Technical University of Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5684,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91177313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.9298999905586243,"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/T13475","display_name":"Digital Transformation in Law","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compliance","display_name":"Compliance (psychology)","score":0.8300414681434631},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6850064992904663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5284402370452881},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5245433449745178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39790597558021545},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2561637759208679},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.13654446601867676},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07070797681808472}],"concepts":[{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.8300414681434631},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6850064992904663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5284402370452881},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5245433449745178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39790597558021545},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2561637759208679},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.13654446601867676},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07070797681808472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves61986.2024.10928135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves61986.2024.10928135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W196214544","https://openalex.org/W2064675550","https://openalex.org/W2953303875","https://openalex.org/W2981207549","https://openalex.org/W3030163527","https://openalex.org/W3040320765","https://openalex.org/W3096831136","https://openalex.org/W3109943374","https://openalex.org/W3112288498","https://openalex.org/W3160228538","https://openalex.org/W4294754026","https://openalex.org/W4306706296","https://openalex.org/W4312933868","https://openalex.org/W4319300501","https://openalex.org/W4383108225","https://openalex.org/W4385804789","https://openalex.org/W4385805122","https://openalex.org/W4387075223","https://openalex.org/W4389988439","https://openalex.org/W4394862623","https://openalex.org/W4394862732","https://openalex.org/W4394862768","https://openalex.org/W4394862786","https://openalex.org/W4402716252","https://openalex.org/W4402753604","https://openalex.org/W4403906537"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2410395228","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W3125941065","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"have":[4],"become":[5],"central":[6],"for":[7,64],"the":[8,22,86,112,116,143,171],"perception":[9,122],"functions":[10],"of":[11,142,189],"autonomous":[12,71],"vehicles,":[13],"substantially":[14],"enhancing":[15],"their":[16,156],"ability":[17],"to":[18,54,105,167,183],"understand":[19],"and":[20,34,62,124,151,159,186],"interpret":[21],"environment.":[23],"However,":[24],"these":[25,56,165,190],"systems":[26,123],"exhibit":[27],"inherent":[28],"limitations":[29],"such":[30,148],"as":[31,48,77,149],"brittleness,":[32],"opacity,":[33],"unpredictable":[35],"behavior":[36],"in":[37,70,99,131,139],"out-of-distribution":[38],"scenarios.":[39],"The":[40,173],"European":[41],"Union":[42],"(EU)":[43],"Artificial":[44],"Intelligence":[45],"(AI)":[46],"Act,":[47],"a":[49],"pioneering":[50],"legislative":[51],"framework,":[52],"aims":[53],"address":[55],"challenges":[57],"by":[58],"establishing":[59],"stringent":[60],"norms":[61],"standards":[63],"AI":[65,90,118,129,135,145],"systems,":[66],"including":[67],"those":[68],"used":[69],"driving":[72],"(AD),":[73],"which":[74],"are":[75],"categorized":[76],"high-risk":[78],"AI.":[79],"In":[80],"this":[81,153],"work,":[82],"we":[83],"explore":[84],"how":[85,161],"newly":[87],"available":[88],"generative":[89,128,134],"models":[91,136],"can":[92],"potentially":[93],"support":[94],"addressing":[95,140],"upcoming":[96],"regulatory":[97],"requirements":[98,113],"AD":[100],"perception,":[101],"particularly":[102],"with":[103,170],"respect":[104],"safety.":[106],"This":[107],"short":[108],"review":[109,154],"paper":[110,174],"summarizes":[111],"arising":[114],"from":[115],"EU":[117,144],"Act":[119],"regarding":[120],"DNN-based":[121],"systematically":[125],"categorizes":[126],"existing":[127],"applications":[130],"AD.":[132],"While":[133],"show":[137],"promise":[138],"some":[141],"Act's":[146],"requirements,":[147],"transparency":[150],"robustness,":[152],"examines":[155],"potential":[157],"benefits":[158],"discusses":[160],"developers":[162],"could":[163],"leverage":[164],"methods":[166],"enhance":[168],"compliance":[169],"Act.":[172],"also":[175],"highlights":[176],"areas":[177],"where":[178],"further":[179],"research":[180],"is":[181],"needed":[182],"ensure":[184],"reliable":[185],"safe":[187],"integration":[188],"technologies.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}