{"id":"https://openalex.org/W4409536547","doi":"https://doi.org/10.1109/lats65346.2025.10963959","title":"Estimating the Impact of Soft Errors on AI-Based Perception in Automotive","display_name":"Estimating the Impact of Soft Errors on AI-Based Perception in Automotive","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4409536547","doi":"https://doi.org/10.1109/lats65346.2025.10963959"},"language":"en","primary_location":{"id":"doi:10.1109/lats65346.2025.10963959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lats65346.2025.10963959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th Latin American Test Symposium (LATS)","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/A5079105702","display_name":"Shailesh Sudhakara Hegde","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Shailesh Sudhakara Hegde","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067519301","display_name":"Dinesh Cyril Selvaraj","orcid":"https://orcid.org/0000-0003-4793-0590"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dinesh Cyril Selvaraj","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107558399","display_name":"Josie E. Rodriguez Condia","orcid":"https://orcid.org/0000-0001-5957-5624"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Josie E. Rodriguez Condia","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091427366","display_name":"Nicola Amati","orcid":"https://orcid.org/0000-0002-3380-9346"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Amati","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Fabiana Chiasserini","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086363771","display_name":"Francesco Paolo Deflorio","orcid":"https://orcid.org/0000-0003-4109-8019"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Paolo Deflorio","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058555274","display_name":"M. Sonza Reorda","orcid":"https://orcid.org/0000-0003-2899-7669"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Sonza Reorda","raw_affiliation_strings":["Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino - Center for Automotive Research and Sustainable Mobility (CARS)","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079105702"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":1.3199,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80385785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9236999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6825778484344482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881722569465637},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5489651560783386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3658621609210968},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21303927898406982},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12613406777381897},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.08535036444664001}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6825778484344482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881722569465637},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5489651560783386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3658621609210968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21303927898406982},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12613406777381897},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08535036444664001},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lats65346.2025.10963959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lats65346.2025.10963959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th Latin American Test Symposium (LATS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W573919829","https://openalex.org/W2045224112","https://openalex.org/W2797979700","https://openalex.org/W2883155917","https://openalex.org/W2896612987","https://openalex.org/W2901848761","https://openalex.org/W2930511688","https://openalex.org/W2958469817","https://openalex.org/W3006874802","https://openalex.org/W3007788310","https://openalex.org/W3022774239","https://openalex.org/W3046764219","https://openalex.org/W3127479116","https://openalex.org/W3155063160","https://openalex.org/W3167531718","https://openalex.org/W3187552919","https://openalex.org/W3210288834","https://openalex.org/W4211115633","https://openalex.org/W4308450151","https://openalex.org/W4377298394","https://openalex.org/W4379115996","https://openalex.org/W4386634676","https://openalex.org/W4387064050","https://openalex.org/W4388009251","https://openalex.org/W4388662247","https://openalex.org/W6851580558"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2390279801","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3,32],"boosting":[4],"the":[5,11,15,29,36,73,91,108,121,126,130,135,147,152,158,172,176,184,210,219,224],"development":[6,64],"of":[7,21,76,93,112,123,223],"complex":[8,26],"functionalities":[9,27],"in":[10],"automotive":[12,49,77],"domain,":[13],"paving":[14],"way":[16],"for":[17,107],"autonomous":[18],"decision-making":[19],"capabilities":[20],"vehicles.":[22],"However,":[23],"integrating":[24],"such":[25],"at":[28,183],"system":[30,185],"level":[31],"challenging":[33],"due":[34],"to":[35,39,61,89,129,145,164,170,202],"short":[37],"time":[38],"market":[40],"with":[41,53],"limited":[42],"development,":[43],"verification,":[44],"and":[45,110,116,150,179,190,213,221],"validation":[46],"periods.":[47],"Moreover,":[48],"applications":[50,78],"require":[51],"compliance":[52],"strict":[54],"safety":[55],"regulations,":[56],"which":[57],"demands":[58],"effective":[59],"strategies":[60],"ensure":[62],"timely":[63],"while":[65],"allowing":[66],"thorough":[67],"dependability":[68],"evaluations.":[69],"This":[70],"work":[71],"addresses":[72],"system-level":[74],"reliability":[75],"by":[79],"proposing":[80],"a":[81,142,198,203],"strategy":[82,105],"named":[83],"TIARA":[84,139],"(Two-step":[85],"IntegrAted":[86],"Reliability":[87],"Assessment)":[88],"assess":[90],"impact":[92,174],"hardware":[94,127],"faults":[95,124,165],"(modeled":[96],"as":[97],"soft":[98],"errors)":[99],"on":[100,175,197,209],"AI-based":[101],"perception":[102],"tasks.":[103],"Our":[104,193],"allows":[106],"exploration":[109],"evaluation":[111],"algorithms,":[113],"driving":[114,191,216],"controllers,":[115],"critical":[117,154,160],"operational":[118],"scenarios,":[119,217],"considering":[120],"effects":[122],"affecting":[125],"up":[128],"vehicle":[131,177],"level.":[132],"To":[133],"tame":[134],"huge":[136],"computational":[137],"complexity,":[138],"first":[140],"exploits":[141],"static":[143],"analysis":[144],"estimate":[146],"fault":[148],"vulnerabilities":[149],"identifies":[151],"most":[153,159],"code":[155],"blocks.":[156],"Then,":[157],"application":[161,207],"blocks":[162],"(susceptible":[163],"from":[166],"hardware)":[167],"are":[168],"targeted":[169],"evaluate":[171],"fault's":[173],"dynamics":[178],"determine":[180],"their":[181],"effect":[182],"level,":[186],"combining":[187],"perception,":[188],"control,":[189],"features.":[192],"experimental":[194],"results,":[195],"obtained":[196],"test":[199],"case":[200],"corresponding":[201],"Lane":[204],"Centering":[205],"Assistance":[206],"based":[208],"YoloP":[211],"model":[212],"under":[214],"different":[215],"show":[218],"feasibility":[220],"effectiveness":[222],"proposed":[225],"approach.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}