{"id":"https://openalex.org/W4386223464","doi":"https://doi.org/10.3390/s23177436","title":"One-Stage Brake Light Status Detection Based on YOLOv8","display_name":"One-Stage Brake Light Status Detection Based on YOLOv8","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386223464","doi":"https://doi.org/10.3390/s23177436","pmid":"https://pubmed.ncbi.nlm.nih.gov/37687892"},"language":"en","primary_location":{"id":"doi:10.3390/s23177436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177436","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7436/pdf?version=1692974952","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/17/7436/pdf?version=1692974952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014697209","display_name":"Geesung Oh","orcid":"https://orcid.org/0000-0002-0498-5631"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geesung Oh","raw_affiliation_strings":["Graduate School of Automotive Engineering, Kookmin University, 77, Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0498-5631","affiliations":[{"raw_affiliation_string":"Graduate School of Automotive Engineering, Kookmin University, 77, Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072506078","display_name":"Sejoon Lim","orcid":"https://orcid.org/0000-0003-1917-699X"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sejoon Lim","raw_affiliation_strings":["Department of Automobile and IT Convergence, Kookmin University, 77, Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1917-699X","affiliations":[{"raw_affiliation_string":"Department of Automobile and IT Convergence, Kookmin University, 77, Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072506078"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.7986,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94955246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"17","first_page":"7436","last_page":"7436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.771092414855957},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7604960799217224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869349479675293},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6361050605773926},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5990845561027527},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5521032214164734},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5065795183181763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502140998840332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35178089141845703},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33929747343063354},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3210848569869995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22300884127616882}],"concepts":[{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.771092414855957},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7604960799217224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869349479675293},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6361050605773926},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5990845561027527},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5521032214164734},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5065795183181763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502140998840332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35178089141845703},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33929747343063354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3210848569869995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22300884127616882},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23177436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177436","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7436/pdf?version=1692974952","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37687892","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37687892","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10490713","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10490713","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10490713/pdf/sensors-23-07436.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:486ace19b3384560ac5228afe6487105","is_oa":true,"landing_page_url":"https://doaj.org/article/486ace19b3384560ac5228afe6487105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 17, p 7436 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/17/7436/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23177436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 17; Pages: 7436","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23177436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177436","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7436/pdf?version=1692974952","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3109758654","display_name":null,"funder_award_id":"5199990814084","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G742970635","display_name":null,"funder_award_id":"092021C26S03000","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386223464.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1908712261","https://openalex.org/W1929630580","https://openalex.org/W1949324514","https://openalex.org/W2029193347","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2112076978","https://openalex.org/W2117539524","https://openalex.org/W2145786074","https://openalex.org/W2163605009","https://openalex.org/W2220750102","https://openalex.org/W2515328799","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2921039714","https://openalex.org/W2930233898","https://openalex.org/W2991275230","https://openalex.org/W2997747012","https://openalex.org/W3092263114","https://openalex.org/W3102710196","https://openalex.org/W4207064056","https://openalex.org/W4213436958","https://openalex.org/W4221090138","https://openalex.org/W4249261707","https://openalex.org/W4285169717","https://openalex.org/W4293661496","https://openalex.org/W4308301073","https://openalex.org/W4320002812","https://openalex.org/W4386076325","https://openalex.org/W6676769703","https://openalex.org/W6760987341","https://openalex.org/W6779586474"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344"],"abstract_inverted_index":{"Despite":[0],"the":[1,14,36,40,114,128,145,187,200],"advancement":[2],"of":[3,16,19,28,42,80,147,153,179,196],"advanced":[4],"driver":[5],"assistance":[6],"systems":[7],"(ADAS)":[8],"and":[9,44,61,89,156,212,227,236],"autonomous":[10,237],"driving":[11,20,29,59,115,238],"systems,":[12],"surpassing":[13],"threshold":[15,178],"level":[17,50],"3":[18,27],"automation":[21,30],"remains":[22],"a":[23,54,68,87,104,192],"challenging":[24],"task.":[25],"Level":[26],"requires":[31],"assuming":[32],"full":[33],"responsibility":[34],"for":[35,57,234],"vehicle's":[37],"actions,":[38],"necessitating":[39],"acquisition":[41],"safer":[43],"more":[45],"interpretable":[46],"cues.":[47],"To":[48],"approach":[49],"3,":[51],"we":[52,85,107,126],"propose":[53],"novel":[55],"method":[56,150,208],"detecting":[58,217],"vehicles":[60],"their":[62],"brake":[63,92,122,218],"light":[64,93,123,219],"status,":[65],"which":[66,133],"is":[67],"crucial":[69],"visual":[70],"cue":[71],"relied":[72],"upon":[73],"by":[74,229],"human":[75],"drivers.":[76],"Our":[77],"proposal":[78],"consists":[79],"two":[81],"main":[82],"components.":[83],"First,":[84],"introduce":[86],"fast":[88,213],"accurate":[90],"one-stage":[91],"status":[94],"detection":[95,154,168],"network":[96],"based":[97],"on":[98,159,186,199],"YOLOv8.":[99],"Through":[100],"transfer":[101],"learning":[102],"using":[103],"custom":[105,131],"dataset,":[106,132,189],"enable":[108],"YOLOv8":[109],"not":[110],"only":[111],"to":[112,119,184],"detect":[113],"vehicle,":[116],"but":[117],"also":[118],"determine":[120],"its":[121],"status.":[124,220],"Furthermore,":[125],"present":[127],"publicly":[129],"available":[130],"includes":[134],"over":[135],"11,000":[136],"forward":[137],"images":[138],"along":[139,190],"with":[140,170,191],"manual":[141],"annotations.":[142],"We":[143],"evaluate":[144],"performance":[146,169],"our":[148,206],"proposed":[149,207],"in":[151,216],"terms":[152],"accuracy":[155,211],"inference":[157,194,214],"time":[158,195,215],"an":[160,171],"edge":[161],"device.":[162,203],"The":[163],"experimental":[164],"results":[165],"demonstrate":[166],"high":[167,210],"mAP50":[172],"(mean":[173],"average":[174],"precision":[175],"at":[176],"IoU":[177],"0.50)":[180],"ranging":[181],"from":[182],"0.766":[183],"0.793":[185],"test":[188],"short":[193],"133.30":[197],"ms":[198],"Jetson":[201],"Nano":[202],"In":[204],"conclusion,":[205],"achieves":[209],"This":[221],"contribution":[222],"effectively":[223],"improves":[224],"safety,":[225],"interpretability,":[226],"comfortability":[228],"providing":[230],"valuable":[231],"input":[232],"information":[233],"ADAS":[235],"technologies.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
