{"id":"https://openalex.org/W4367186545","doi":"https://doi.org/10.1080/10447318.2023.2204274","title":"Integrated Recognition Assistant Framework Based on Deep Learning for Autonomous Driving: Human-Like Restoring Damaged Road Sign Information","display_name":"Integrated Recognition Assistant Framework Based on Deep Learning for Autonomous Driving: Human-Like Restoring Damaged Road Sign Information","publication_year":2023,"publication_date":"2023-04-27","ids":{"openalex":"https://openalex.org/W4367186545","doi":"https://doi.org/10.1080/10447318.2023.2204274"},"language":"en","primary_location":{"id":"doi:10.1080/10447318.2023.2204274","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2204274","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-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/A5009113006","display_name":"Jeongeun Park","orcid":"https://orcid.org/0000-0001-9431-952X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongeun Park","raw_affiliation_strings":["Graduate School of Information, Yonsei University","Graduate School of Information, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9431-952X","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Yonsei University","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Graduate School of Information, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749738","display_name":"Kisu Lee","orcid":"https://orcid.org/0000-0002-7493-8283"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kisu Lee","raw_affiliation_strings":["Graduate School of Information, Yonsei University","Graduate School of Information, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7493-8283","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Yonsei University","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Graduate School of Information, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043961759","display_name":"Ha Young Kim","orcid":"https://orcid.org/0000-0001-5853-7589"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ha Young Kim","raw_affiliation_strings":["Graduate School of Information, Yonsei University","Graduate School of Information, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5853-7589","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Yonsei University","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Graduate School of Information, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043961759"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.3532,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57356895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"40","issue":"15","first_page":"3982","last_page":"4002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7508503198623657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728326082229614},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5673643350601196},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5300450325012207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5017654895782471},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.48704174160957336},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4808400571346283},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.47654134035110474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.466467022895813},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.432117223739624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3447340130805969},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.3164602518081665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1250966191291809}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508503198623657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728326082229614},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5673643350601196},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5300450325012207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5017654895782471},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48704174160957336},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4808400571346283},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.47654134035110474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.466467022895813},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.432117223739624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3447340130805969},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.3164602518081665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1250966191291809},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447318.2023.2204274","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2204274","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G6808323866","display_name":null,"funder_award_id":"2023R1A2C2003379","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W2012875423","https://openalex.org/W2045128528","https://openalex.org/W2064675550","https://openalex.org/W2067713319","https://openalex.org/W2131774270","https://openalex.org/W2133665775","https://openalex.org/W2165736859","https://openalex.org/W2286247980","https://openalex.org/W2474104141","https://openalex.org/W2480611499","https://openalex.org/W2492794003","https://openalex.org/W2519564115","https://openalex.org/W2555618208","https://openalex.org/W2561675875","https://openalex.org/W2583993537","https://openalex.org/W2593883017","https://openalex.org/W2779333428","https://openalex.org/W2810049415","https://openalex.org/W2837605352","https://openalex.org/W2886300831","https://openalex.org/W2888285221","https://openalex.org/W2888499542","https://openalex.org/W2901742203","https://openalex.org/W2903456157","https://openalex.org/W2908305534","https://openalex.org/W2914821954","https://openalex.org/W2941929782","https://openalex.org/W2942157335","https://openalex.org/W2942959816","https://openalex.org/W2957205388","https://openalex.org/W2962807143","https://openalex.org/W2963000651","https://openalex.org/W2963016445","https://openalex.org/W2963165400","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964211168","https://openalex.org/W2981207549","https://openalex.org/W2982763192","https://openalex.org/W2990123902","https://openalex.org/W2991569265","https://openalex.org/W3001554227","https://openalex.org/W3002044607","https://openalex.org/W3011680720","https://openalex.org/W3031612870","https://openalex.org/W3034419329","https://openalex.org/W3045897451","https://openalex.org/W3087893884","https://openalex.org/W3095351420","https://openalex.org/W3096831136","https://openalex.org/W3100944043","https://openalex.org/W3112686725","https://openalex.org/W3120926185","https://openalex.org/W3134063474","https://openalex.org/W3134970617","https://openalex.org/W3135991645","https://openalex.org/W3141426068","https://openalex.org/W3171342028","https://openalex.org/W3176640650","https://openalex.org/W3180406526","https://openalex.org/W3191343975","https://openalex.org/W3198653589","https://openalex.org/W3198760712","https://openalex.org/W3212516020","https://openalex.org/W4206136687","https://openalex.org/W4212962367","https://openalex.org/W4214577770","https://openalex.org/W4282925540","https://openalex.org/W4289527538","https://openalex.org/W4294215807","https://openalex.org/W4300101671","https://openalex.org/W4313164646","https://openalex.org/W6680532216","https://openalex.org/W6754143420","https://openalex.org/W6779879114"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4379231512","https://openalex.org/W4283820116","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W3215426395","https://openalex.org/W4286647459","https://openalex.org/W2107986535","https://openalex.org/W2129987407","https://openalex.org/W3111239497"],"abstract_inverted_index":{"Unpredictable":[0],"situations":[1],"frequently":[2],"occur":[3],"in":[4,138],"real":[5],"driving":[6,132],"environments,":[7],"and":[8,93,135],"it":[9,35,140],"is":[10,44,75,96,106,136,141],"often":[11],"difficult":[12,36],"to":[13,27,37,108],"recognize":[14],"road":[15,73],"signs.":[16],"In":[17],"this":[18],"case,":[19],"autonomous":[20],"vehicles":[21],"(AVs)":[22],"have":[23],"a":[24,49,131,142],"limited":[25,58],"ability":[26],"predict":[28],"areas":[29],"that":[30,51,139,144],"cannot":[31],"be":[32],"detected,":[33],"making":[34],"judge":[38],"objects":[39],"accurately":[40],"when":[41],"some":[42],"information":[43,56],"lost.":[45],"Therefore,":[46],"we":[47],"propose":[48],"framework":[50,117],"helps":[52],"AVs":[53],"infer":[54],"proper":[55],"under":[57],"conditions.":[59],"The":[60,115],"entire":[61],"process":[62],"consists":[63],"of":[64,71,128],"three":[65],"steps.":[66],"First,":[67],"the":[68,72,78,85,89,103,111,126],"missing":[69],"part":[70],"sign":[74],"restored":[76,94],"using":[77],"image":[79,87,105],"generative":[80],"pre-trained":[81],"transformer":[82],"model.":[83],"Next,":[84],"sample":[86,100],"with":[88,122],"highest":[90],"classification":[91],"accuracy":[92,120],"quality":[95],"selected":[97,104],"among":[98],"several":[99],"images.":[101],"Finally,":[102],"provided":[107],"users":[109],"through":[110],"designed":[112],"user":[113],"interface.":[114],"proposed":[116],"improved":[118],"recognition":[119],"compared":[121],"unrestored":[123],"accuracy,":[124],"indicating":[125],"possibility":[127],"application":[129],"as":[130],"assistance":[133],"system,":[134],"meaningful":[137],"system":[143],"mimics":[145],"human":[146],"reasoning":[147],"ability.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
