{"id":"https://openalex.org/W4391697789","doi":"https://doi.org/10.1109/icsai61474.2023.10423282","title":"Traffic Sign Recognition Based on Improved YOLOv5s","display_name":"Traffic Sign Recognition Based on Improved YOLOv5s","publication_year":2023,"publication_date":"2023-12-16","ids":{"openalex":"https://openalex.org/W4391697789","doi":"https://doi.org/10.1109/icsai61474.2023.10423282"},"language":"en","primary_location":{"id":"doi:10.1109/icsai61474.2023.10423282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai61474.2023.10423282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Systems and Informatics (ICSAI)","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/A5100405987","display_name":"Jin Zhang","orcid":"https://orcid.org/0000-0002-7464-2247"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Zhang","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602240","display_name":"Fan Cao","orcid":"https://orcid.org/0000-0003-1685-330X"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Cao","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427565","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0002-4278-0805"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhang","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060737716","display_name":"Ying Wai Li","orcid":"https://orcid.org/0000-0003-0124-8262"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051198089","display_name":"Sheng Wu","orcid":"https://orcid.org/0000-0002-9947-9968"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wu","raw_affiliation_strings":["Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100405987"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19993903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.778802752494812},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6747957468032837},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.6534785628318787},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6192967891693115},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5971670150756836},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5794301629066467},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5752373337745667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395310521125793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5084697008132935},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47736501693725586},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4402358829975128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40984946489334106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778802752494812},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6747957468032837},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.6534785628318787},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6192967891693115},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5971670150756836},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5794301629066467},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5752373337745667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395310521125793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5084697008132935},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47736501693725586},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4402358829975128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40984946489334106},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai61474.2023.10423282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai61474.2023.10423282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1531178552","https://openalex.org/W2113650053","https://openalex.org/W2193145675","https://openalex.org/W2379222469","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2769986739","https://openalex.org/W2928165649","https://openalex.org/W2950800384","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2989676862","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4312976957","https://openalex.org/W6620707391","https://openalex.org/W6714138976","https://openalex.org/W6732243160","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4283820116","https://openalex.org/W4379231512","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W4286647459","https://openalex.org/W2899819381","https://openalex.org/W2557202782","https://openalex.org/W3215426395","https://openalex.org/W2772251146"],"abstract_inverted_index":{"In":[0],"the":[1,29,60,79,86,97,122],"field":[2],"of":[3,8,31,44,91,107,129],"autonomous":[4,12],"driving,":[5],"it":[6],"is":[7,75],"great":[9],"significance":[10],"for":[11],"driving":[13],"to":[14,40,62,84,99],"detect":[15],"traffic":[16,45,64,92,108],"signs":[17,46],"accurately.":[18],"This":[19,26,94],"paper":[20],"proposes":[21],"a":[22,69],"method":[23,27,126],"named":[24],"MR_YOLO.":[25],"addresses":[28],"issue":[30],"inadequate":[32],"accuracy":[33],"that":[34],"plagues":[35],"current":[36],"systems.":[37],"More":[38],"specifically,":[39],"address":[41,85],"varying":[42],"sizes":[43,90],"in":[47,133],"images,":[48],"our":[49],"strategy":[50],"refined":[51],"anchor":[52],"box":[53],"dimensions":[54],"using":[55],"K-Means++":[56],"clustering":[57],"and":[58,81,89,104,131,135],"fine-tuned":[59],"model":[61],"enhance":[63],"sign":[65],"recognition":[66,112],"efficacy.":[67],"Next,":[68],"multi-scale":[70],"feature":[71],"extraction":[72],"model,":[73],"C3Res2Net,":[74],"formed":[76],"by":[77],"combining":[78],"C3":[80],"Res2Net":[82],"models":[83],"different":[87],"scales":[88],"signs.":[93],"approach":[95],"enables":[96],"network":[98],"accurately":[100],"capture":[101],"comprehensive":[102],"information":[103],"intricate":[105],"details":[106],"signs,":[109],"thus":[110],"enhancing":[111],"capabilities.":[113],"Experimental":[114],"data":[115],"reveal":[116],"competitive":[117],"outcomes":[118],"when":[119],"tested":[120],"on":[121],"CCTSDB":[123],"dataset.":[124],"The":[125],"achieves":[127],"values":[128],"92.8%":[130],"88.4%":[132],"precision":[134],"mAP,":[136],"respectively.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}