{"id":"https://openalex.org/W2976915729","doi":"https://doi.org/10.1109/iccse.2019.8845483","title":"A Deep Learning Method for Fault Detection of Autonomous Vehicles","display_name":"A Deep Learning Method for Fault Detection of Autonomous Vehicles","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2976915729","doi":"https://doi.org/10.1109/iccse.2019.8845483","mag":"2976915729"},"language":"en","primary_location":{"id":"doi:10.1109/iccse.2019.8845483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse.2019.8845483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Conference on Computer Science &amp; Education (ICCSE)","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/A5008720716","display_name":"Jing Ren","orcid":"https://orcid.org/0000-0002-6665-7457"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jing Ren","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763273","display_name":"Rui Ren","orcid":"https://orcid.org/0009-0000-3542-2164"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rui Ren","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633156","display_name":"Mark Green","orcid":"https://orcid.org/0000-0002-7886-6205"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark Green","raw_affiliation_strings":["Faculty of Science, University of Ontario Institute of Technology, Oshawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Ontario Institute of Technology, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102943715","display_name":"Xishi Huang","orcid":"https://orcid.org/0000-0003-4639-663X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xishi Huang","raw_affiliation_strings":["RS Opto Tech Ltd., Suzhou, Jinagsu, China"],"affiliations":[{"raw_affiliation_string":"RS Opto Tech Ltd., Suzhou, Jinagsu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008720716"],"corresponding_institution_ids":["https://openalex.org/I39470171"],"apc_list":null,"apc_paid":null,"fwci":0.9979,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76975475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"749","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9944999814033508,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7131896018981934},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6726095676422119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551451683044434},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6081014275550842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715480446815491},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5333155393600464},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.415910929441452},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.08531051874160767}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7131896018981934},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6726095676422119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551451683044434},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6081014275550842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715480446815491},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5333155393600464},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.415910929441452},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.08531051874160767},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccse.2019.8845483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse.2019.8845483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Conference on Computer Science &amp; Education (ICCSE)","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":25,"referenced_works":["https://openalex.org/W1975843416","https://openalex.org/W1977118701","https://openalex.org/W1980438367","https://openalex.org/W1985437849","https://openalex.org/W1992139774","https://openalex.org/W2002106843","https://openalex.org/W2012355778","https://openalex.org/W2058983449","https://openalex.org/W2102832680","https://openalex.org/W2417225786","https://openalex.org/W2512444573","https://openalex.org/W2608411352","https://openalex.org/W2619304139","https://openalex.org/W2740956509","https://openalex.org/W2762355244","https://openalex.org/W2789904726","https://openalex.org/W2797302551","https://openalex.org/W2803244048","https://openalex.org/W2887782657","https://openalex.org/W2893895025","https://openalex.org/W2898491324","https://openalex.org/W2909309670","https://openalex.org/W2919115771","https://openalex.org/W2919785303","https://openalex.org/W6757899854"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2379533788","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W2126887587","https://openalex.org/W4327774331","https://openalex.org/W2977657329"],"abstract_inverted_index":{"Fault":[0],"detection":[1,41],"is":[2],"a":[3,38,68],"crucial":[4],"step":[5],"for":[6],"the":[7,24,27,54,64,77,88,112,130],"safe":[8],"operation":[9,133],"of":[10,26,50,57,134],"autonomous":[11,59,135],"vehicles.":[12,136],"Failure":[13],"to":[14,23,47,67,123],"detect":[15,124],"faults":[16,51,96,128],"can":[17,93,120],"result":[18],"in":[19,53,105,111,129],"component":[20],"failure":[21],"leading":[22],"breakdown":[25],"car":[28],"or":[29,103,127],"even":[30],"catastrophic":[31],"accidents.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"general":[39,116],"fault":[40],"method":[42,66,92],"using":[43,79],"deep":[44,90,117],"learning":[45,91,118],"techniques":[46],"learn":[48],"patterns":[49],"reflected":[52,110],"dynamic":[55,113],"model":[56],"an":[58],"vehicle.":[60],"We":[61],"have":[62],"applied":[63],"proposed":[65,89],"remotely":[69],"operated":[70],"scaled":[71],"multi-wheeled":[72],"combat":[73],"vehicle":[74],"and":[75,81],"evaluated":[76],"algorithm":[78],"normal":[80],"defective":[82],"signals.":[83],"The":[84],"results":[85],"show":[86],"that":[87,97],"accurately":[94],"identify":[95],"are":[98,109],"caused":[99],"by":[100],"mechanical":[101],"problems":[102],"changes":[104],"system":[106],"parameter":[107],"which":[108],"models.":[114],"This":[115],"technique":[119],"be":[121],"tailored":[122],"many":[125],"defects":[126],"manufacturing":[131],"and/or":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
