{"id":"https://openalex.org/W4220982940","doi":"https://doi.org/10.1109/iccve52871.2022.9742737","title":"Vehicle-in-the-Loop Testing - a Comparative Study for Efficient Validation of ADAS/AD Functions","display_name":"Vehicle-in-the-Loop Testing - a Comparative Study for Efficient Validation of ADAS/AD Functions","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W4220982940","doi":"https://doi.org/10.1109/iccve52871.2022.9742737"},"language":"en","primary_location":{"id":"doi:10.1109/iccve52871.2022.9742737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccve52871.2022.9742737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Connected Vehicle and Expo (ICCVE)","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/A5033254486","display_name":"Christian Schyr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Schyr","raw_affiliation_strings":["AVL Deutschland GmbH,Advanced Solution Lab,Karlsruhe,Germany","Advanced Solution Lab, AVL Deutschland GmbH, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVL Deutschland GmbH,Advanced Solution Lab,Karlsruhe,Germany","institution_ids":[]},{"raw_affiliation_string":"Advanced Solution Lab, AVL Deutschland GmbH, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110663353","display_name":"Hideo Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I182069643","display_name":"Kanagawa Institute of Technology","ror":"https://ror.org/007gj5v75","country_code":"JP","type":"education","lineage":["https://openalex.org/I182069643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Inoue","raw_affiliation_strings":["Kanagawa Institute of Technology,Department of Vehicle System Engineering,Kanagawa,Japan","Department of Vehicle System Engineering, Kanagawa Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanagawa Institute of Technology,Department of Vehicle System Engineering,Kanagawa,Japan","institution_ids":["https://openalex.org/I182069643"]},{"raw_affiliation_string":"Department of Vehicle System Engineering, Kanagawa Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I182069643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078993890","display_name":"Yuji Nakaoka","orcid":null},"institutions":[{"id":"https://openalex.org/I164917862","display_name":"J-Power (Japan)","ror":"https://ror.org/04rbbpv92","country_code":"JP","type":"company","lineage":["https://openalex.org/I164917862"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Nakaoka","raw_affiliation_strings":["AVL Japan K.K.,Powertrain Engineering,Kanagawa,Japan","Powertrain Engineering, AVL Japan K.K., Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AVL Japan K.K.,Powertrain Engineering,Kanagawa,Japan","institution_ids":["https://openalex.org/I164917862"]},{"raw_affiliation_string":"Powertrain Engineering, AVL Japan K.K., Kanagawa, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3241,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93362966,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11487","display_name":"Automotive and Human Injury Biomechanics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11487","display_name":"Automotive and Human Injury Biomechanics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9763000011444092,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.6927574872970581},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.6169160008430481},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.593613862991333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5883550047874451},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5835967063903809},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.5456722974777222},{"id":"https://openalex.org/keywords/test-bench","display_name":"Test bench","score":0.5356414318084717},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.507028341293335},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4726356863975525},{"id":"https://openalex.org/keywords/hardware-in-the-loop-simulation","display_name":"Hardware-in-the-loop simulation","score":0.4422139823436737},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4386243522167206},{"id":"https://openalex.org/keywords/driving-test","display_name":"Driving test","score":0.4287004768848419},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.42468202114105225},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.36311212182044983},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3299582600593567},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2142958641052246},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.1879250407218933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1425696313381195}],"concepts":[{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.6927574872970581},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.6169160008430481},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.593613862991333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5883550047874451},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5835967063903809},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.5456722974777222},{"id":"https://openalex.org/C2776266606","wikidata":"https://www.wikidata.org/wiki/Q476482","display_name":"Test bench","level":2,"score":0.5356414318084717},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.507028341293335},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4726356863975525},{"id":"https://openalex.org/C70587628","wikidata":"https://www.wikidata.org/wiki/Q1142371","display_name":"Hardware-in-the-loop simulation","level":2,"score":0.4422139823436737},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4386243522167206},{"id":"https://openalex.org/C2777745276","wikidata":"https://www.wikidata.org/wiki/Q1392263","display_name":"Driving test","level":3,"score":0.4287004768848419},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.42468202114105225},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36311212182044983},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3299582600593567},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2142958641052246},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.1879250407218933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1425696313381195},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccve52871.2022.9742737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccve52871.2022.9742737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Connected Vehicle and Expo (ICCVE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2073751448","https://openalex.org/W2157097613","https://openalex.org/W2578988959","https://openalex.org/W2991694135","https://openalex.org/W3162444044","https://openalex.org/W3186859661","https://openalex.org/W3188530035","https://openalex.org/W3204389300","https://openalex.org/W4290670461","https://openalex.org/W6841832503"],"related_works":["https://openalex.org/W4285358957","https://openalex.org/W2618418892","https://openalex.org/W1995622656","https://openalex.org/W2055288150","https://openalex.org/W2067999600","https://openalex.org/W2006299535","https://openalex.org/W2381690059","https://openalex.org/W2053594138","https://openalex.org/W2211867532","https://openalex.org/W2066132408"],"abstract_inverted_index":{"A":[0,146],"detailed":[1,58],"benchmark":[2],"analysis":[3],"is":[4],"presented":[5],"to":[6,152,157,195],"compare":[7],"the":[8,89,105,113,117,135,139,143,165,170,192],"efficient":[9,184],"evaluation":[10],"of":[11,92,176,188],"ADAS/AD":[12,177,189],"functions":[13,121,190],"in":[14,36,49,77,104,134,142,191],"conventional":[15],"real":[16,144,166,196],"driving":[17,71,82,129],"and":[18,38,56,69,75,80,95,111,124,161,186],"SiL/HiL":[19],"environments":[20],"with":[21,40,51,98],"a":[22,44,52,57,154,181],"novel":[23,45,155],"Vehicle-in-the-Loop":[24],"(ViL)":[25],"test":[26,62],"bench":[27,140],"solution.":[28],"Two":[29],"ViL":[30],"installations":[31],"have":[32,72,131],"been":[33,73,132,151],"set":[34],"up":[35,110],"Germany":[37],"Japan":[39],"highly-dynamic":[41],"wheel":[42],"dynamometers,":[43],"steering":[46],"force":[47],"emulator":[48],"combination":[50],"validated":[53],"vehicle":[54,65,107],"model":[55],"environment":[59,162],"simulation.":[60],"Selected":[61],"scenarios":[63],"from":[64],"dynamics,":[66],"NCAP,":[67],"highway":[68],"urban":[70],"configured":[74],"executed":[76],"manual,":[78],"assisted":[79],"automated":[81],"mode.":[83],"It":[84],"can":[85],"be":[86],"shown":[87],"that":[88],"unique":[90],"integration":[91],"Powertrain-,":[93],"Steering-":[94],"Brake-in-the-Loop":[96],"together":[97],"Sensor-in-the-Loop":[99],"allows":[100],"highly":[101],"realistic":[102],"tests":[103],"complete":[106],"operation":[108],"range":[109],"beyond":[112],"dynamic":[114],"limits.":[115],"For":[116],"implemented":[118],"prototypical":[119],"ADAS":[120],"several":[122],"sensor":[123,160],"function":[125],"weaknesses":[126],"within":[127],"critical":[128],"maneuvers":[130],"detected":[133],"same":[136],"way":[137],"on":[138],"as":[141],"test.":[145],"key":[147],"success":[148],"factor":[149],"has":[150],"establish":[153],"process":[156],"validate":[158],"standardized":[159],"models":[163],"against":[164],"world,":[167],"this":[168],"being":[169],"precondition":[171],"for":[172],"any":[173],"simulation-based":[174],"homologation":[175],"systems.":[178],"This":[179],"enables":[180],"much":[182],"more":[183],"optimization":[185],"validation":[187],"lab":[193],"compared":[194],"track":[197],"testing.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}