{"id":"https://openalex.org/W3007932186","doi":"https://doi.org/10.1145/3376067.3376102","title":"Application of Improved LeNet-5 Network in Traffic Sign Recognition","display_name":"Application of Improved LeNet-5 Network in Traffic Sign Recognition","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3007932186","doi":"https://doi.org/10.1145/3376067.3376102","mag":"3007932186"},"language":"en","primary_location":{"id":"doi:10.1145/3376067.3376102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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/A5100425955","display_name":"Wenlong Li","orcid":"https://orcid.org/0000-0003-2916-8248"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenlong Li","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678770","display_name":"Xingguang Li","orcid":"https://orcid.org/0000-0002-8037-0049"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguang Li","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027797869","display_name":"Yue-Ya Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueya Qin","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082889003","display_name":"Wenjun Song","orcid":"https://orcid.org/0009-0005-1111-2774"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Song","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076912232","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0003-1755-7887"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100425955"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":1.0713,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8186068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9965000152587891,"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/pooling","display_name":"Pooling","score":0.7515147924423218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346116304397583},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7286949157714844},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6267207264900208},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.6036763191223145},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5543884634971619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5431484580039978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217283964157104},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49127286672592163},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4853145480155945},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4534452557563782},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4346911907196045},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.32396090030670166},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3214107155799866},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.2573142945766449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13934534788131714}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7515147924423218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346116304397583},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7286949157714844},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6267207264900208},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.6036763191223145},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5543884634971619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5431484580039978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217283964157104},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49127286672592163},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4853145480155945},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4534452557563782},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4346911907196045},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.32396090030670166},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3214107155799866},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.2573142945766449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13934534788131714},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3376067.3376102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2313408526","https://openalex.org/W2324976995","https://openalex.org/W2403529265","https://openalex.org/W2590800633","https://openalex.org/W2606627481","https://openalex.org/W2726204845","https://openalex.org/W2779757316","https://openalex.org/W2916440898","https://openalex.org/W6601204288"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Considering":[0],"that":[1,105],"most":[2],"convolutional":[3],"neural":[4],"network":[5,20,109],"(CNN)":[6],"models":[7],"designed":[8],"for":[9,36,123],"traffic":[10,124],"sign":[11],"recognition":[12,156],"(TSR)":[13],"have":[14],"sacrificed":[15],"more":[16],"resources":[17],"and":[18,51,117,142],"complicated":[19],"model":[21],"development":[22],"while":[23,58],"pursuing":[24],"higher":[25],"performance,":[26],"LeNet-5":[27,108],"shallow":[28],"CNN":[29],"with":[30,75],"low":[31],"complexity":[32,146],"has":[33,110],"been":[34],"selected":[35],"improvement.":[37],"Increasing":[38],"the":[39,45,52,60,63,88,98,106,118,136,140,145,148,151],"number":[40],"of":[41,62,84,115,139,147,153],"convolution":[42,47,54,64],"kernel":[43,65],"in":[44,66,126],"first":[46],"layer":[48,55,90],"(C1":[49],"layer)":[50,57],"third":[53],"(C3":[56],"reducing":[59],"size":[61],"C3":[67],"layer.":[68],"Introducing":[69],"Rectified":[70],"Linear":[71],"Unit":[72],"(ReLU)":[73],"function":[74],"better":[76],"performance.":[77],"The":[78,101],"maximum":[79],"pooling":[80],"is":[81,121],"introduced":[82],"instead":[83],"mean":[85],"pooling.":[86],"Besides,":[87],"output":[89],"employs":[91],"support":[92],"vector":[93],"machine":[94],"(SVM)":[95],"to":[96],"shorten":[97],"operation":[99],"time.":[100],"research":[102],"results":[103],"demonstrate":[104],"improved":[107],"an":[111],"identification":[112,119],"accuracy":[113],"rate":[114],"98.12%":[116],"time":[120],"0.154s":[122],"signs":[125],"German":[127],"Traffic":[128],"Sign":[129],"Recognition":[130],"Benchmark":[131],"(GTSRB),":[132],"which":[133],"could":[134],"guarantee":[135],"real-time":[137],"performance":[138],"system":[141,149],"effectively":[143],"reduce":[144],"on":[150],"basis":[152],"a":[154],"high":[155],"rate.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}