{"id":"https://openalex.org/W4214742392","doi":"https://doi.org/10.1145/3488933.3488955","title":"Research on Traffic Sign Detection Algorithm Based on YOLO","display_name":"Research on Traffic Sign Detection Algorithm Based on YOLO","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214742392","doi":"https://doi.org/10.1145/3488933.3488955"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488955","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5013798584","display_name":"Feng Min","orcid":"https://orcid.org/0000-0002-6846-8916"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Min","raw_affiliation_strings":["Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102772570","display_name":"Wenzhe Ma","orcid":"https://orcid.org/0000-0001-9363-7841"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Wenzhe","raw_affiliation_strings":["Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101152060","display_name":"Zeming Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Zeming","raw_affiliation_strings":["Wuhan Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013798584"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.1307,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52980991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2871","issue":null,"first_page":"179","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9851999878883362,"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":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549580335617065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6409905552864075},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5741240382194519},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5631100535392761},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5603630542755127},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5419110059738159},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5305747389793396},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.530308723449707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5162484645843506},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5021140575408936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47957557439804077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4295824468135834},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42770904302597046},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42273759841918945},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41220569610595703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2611820697784424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1409640908241272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12862291932106018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549580335617065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6409905552864075},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5741240382194519},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5631100535392761},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5603630542755127},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5419110059738159},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5305747389793396},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.530308723449707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5162484645843506},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5021140575408936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47957557439804077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4295824468135834},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42770904302597046},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42273759841918945},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41220569610595703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2611820697784424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1409640908241272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12862291932106018},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3488955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488955","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":7,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2146094423","https://openalex.org/W2193145675","https://openalex.org/W3106250896","https://openalex.org/W3177525997","https://openalex.org/W4245551996"],"related_works":["https://openalex.org/W4327500857","https://openalex.org/W2965994363","https://openalex.org/W1689909837","https://openalex.org/W4221037879","https://openalex.org/W4311223090","https://openalex.org/W4205729548","https://openalex.org/W4298525700","https://openalex.org/W1895541646","https://openalex.org/W2953362004","https://openalex.org/W2952251705"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,6,11,23,64,93,119],"the":[3,12,19,24,42,48,58,62,90,94,104,117,126,134,137,145,154],"large":[4],"amount":[5],"network":[7,95],"parameters":[8],"and":[9,18,61,115,144,164],"calculations":[10],"current":[13],"two-stage":[14],"target":[15,26,77],"detection":[16,27,33],"algorithm,":[17,28],"low":[20],"recognition":[21,146],"accuracy":[22,118],"single-stage":[25],"an":[29],"improved":[30],"traffic":[31,120],"sign":[32,121],"algorithm":[34,40],"based":[35],"on":[36,125],"yolov4-tiny":[37],"is":[38,82,101,139,148],"proposed.The":[39],"uses":[41],"SSD":[43],"structure":[44,73],"idea":[45],"to":[46,74,88,96,110],"divide":[47],"ordinary":[49],"convolution":[50],"into":[51],"two":[52],"steps,":[53],"which":[54],"not":[55],"only":[56],"reduces":[57],"computing":[59],"resources":[60],"number":[63],"parameters,":[65],"but":[66],"also":[67],"adds":[68],"a":[69,161],"new":[70],"feature":[71,91,98],"extraction":[72],"obtain":[75],"more":[76],"features.Then,":[78],"bottom-up":[79],"multi-scale":[80],"fusion":[81],"used,":[83],"combined":[84],"with":[85,133],"low-level":[86],"information":[87],"enrich":[89],"level":[92],"improve":[97,116],"utilization.Finally,":[99],"CIoU":[100],"used":[102],"as":[103],"bounding":[105],"box":[106],"regression":[107],"loss":[108],"function":[109],"speed":[111,147,163],"up":[112],"model":[113],"convergence":[114],"detection.The":[122],"experimental":[123],"results":[124],"CCTSDB":[127],"data":[128],"set":[129],"show":[130],"that,":[131],"compared":[132],"original":[135],"YOLOv4-tiny,":[136],"mAP":[138],"increased":[140],"by":[141],"about":[142],"12%,":[143],"10":[149],"ms.":[150],"It":[151],"indicates":[152],"that":[153],"method":[155],"proposed":[156],"in":[157],"this":[158],"paper":[159],"has":[160],"faster":[162],"higher":[165],"accuracy.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}