{"id":"https://openalex.org/W4392982083","doi":"https://doi.org/10.1109/icaiic60209.2024.10463405","title":"Image Translation of Vehicle Front Camera Frame Failures Based on CycleGAN","display_name":"Image Translation of Vehicle Front Camera Frame Failures Based on CycleGAN","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392982083","doi":"https://doi.org/10.1109/icaiic60209.2024.10463405"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5019984159","display_name":"Dian Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dian Ning","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea","School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086165395","display_name":"Dong Seog Han","orcid":"https://orcid.org/0000-0002-7769-0236"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Seog Han","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea","School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019984159"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02373963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7679117321968079},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6700626611709595},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.644942581653595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6113491058349609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588049590587616},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.554560661315918},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5173348784446716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4402887523174286},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4250294864177704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12440815567970276},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09028056263923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679117321968079},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6700626611709595},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.644942581653595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6113491058349609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588049590587616},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.554560661315918},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5173348784446716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4402887523174286},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4250294864177704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12440815567970276},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09028056263923645},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1968227650","https://openalex.org/W2026719822","https://openalex.org/W2136767008","https://openalex.org/W2144779437","https://openalex.org/W2194775991","https://openalex.org/W2924106742","https://openalex.org/W2962793481","https://openalex.org/W3110923198","https://openalex.org/W3135124536","https://openalex.org/W4360605277"],"related_works":["https://openalex.org/W4288069866","https://openalex.org/W2986947168","https://openalex.org/W3166978923","https://openalex.org/W4389232935","https://openalex.org/W3109545856","https://openalex.org/W2904276469","https://openalex.org/W3155045749","https://openalex.org/W2936127876","https://openalex.org/W4213477128","https://openalex.org/W3110114991"],"abstract_inverted_index":{"More":[0],"and":[1,32,39,76,131],"more":[2,95],"kinds":[3],"of":[4,44,128,137],"sensors":[5],"are":[6,101],"used":[7],"including":[8],"cameras":[9],"in":[10,48,64],"the":[11,49,70,73,78,111,119,126],"vehicle":[12],"to":[13,36,54,93,114],"proactively":[14],"address":[15],"safety":[16],"issues,":[17],"either":[18],"directly":[19],"or":[20],"indirectly.":[21],"Camera":[22],"failures,":[23],"such":[24],"as":[25,134],"abnormal":[26,61,79,96,112],"frames":[27,97,113],"caused":[28],"by":[29,59,86],"muzzy,":[30],"obstruction,":[31],"flutter,":[33],"can":[34,108,124],"lead":[35],"system":[37,120],"exceptions":[38],"even":[40],"traffic":[41],"accidents":[42],"because":[43,98],"their":[45],"important":[46],"role":[47],"vehicle's":[50],"system.":[51],"We":[52],"hope":[53],"reduce":[55],"those":[56],"exception":[57],"faults":[58],"recovering":[60],"frames.":[62,80,140],"Therefore,":[63],"this":[65,82],"paper,":[66],"we":[67],"first":[68],"collect":[69],"video":[71],"from":[72],"front-facing":[74],"camera":[75,129],"define":[77],"Then,":[81],"dataset":[83],"is":[84],"learned":[85],"a":[87,135],"cycle":[88],"generative":[89],"adversarial":[90],"network":[91],"(CycleGAN)":[92],"generate":[94],"sufficient":[99],"samples":[100],"needed":[102],"for":[103],"better":[104],"training.":[105],"Moreover,":[106],"CycleGAN":[107],"also":[109,132],"restore":[110],"normal":[115],"frames,":[116],"which":[117],"reduces":[118],"faults.":[121],"This":[122],"method":[123],"mitigate":[125],"consequence":[127],"failures":[130],"works":[133],"generator":[136],"corresponding":[138],"failure":[139]},"counts_by_year":[],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
