{"id":"https://openalex.org/W4401069873","doi":"https://doi.org/10.1109/access.2024.3435384","title":"A Lightweight Traffic Sign Detection Method With Improved YOLOv7-Tiny","display_name":"A Lightweight Traffic Sign Detection Method With Improved YOLOv7-Tiny","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401069873","doi":"https://doi.org/10.1109/access.2024.3435384"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3435384","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3435384","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3435384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100525493","display_name":"Xiaobing Cao","orcid":"https://orcid.org/0009-0008-8456-7122"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Cao","raw_affiliation_strings":["School of Control Engineering, Wuxi Institute of Technology, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0008-8456-7122","affiliations":[{"raw_affiliation_string":"School of Control Engineering, Wuxi Institute of Technology, Wuxi, China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102676442","display_name":"Yicen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132399","display_name":"Wuxi Vocational Institute of Commerce","ror":"https://ror.org/03bdrtb23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicen Xu","raw_affiliation_strings":["School of Intelligent Equipment and Automotive Engineering, Wuxi Vocational Institute of Commerce, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Equipment and Automotive Engineering, Wuxi Vocational Institute of Commerce, Wuxi, China","institution_ids":["https://openalex.org/I4210132399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067361308","display_name":"Jiawei He","orcid":"https://orcid.org/0000-0001-6872-3254"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei He","raw_affiliation_strings":["School of Control Engineering, Wuxi Institute of Technology, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Engineering, Wuxi Institute of Technology, Wuxi, China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325995","display_name":"Jiahui Liu","orcid":"https://orcid.org/0000-0001-5833-5434"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Liu","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048440079","display_name":"Yongjie Wang","orcid":"https://orcid.org/0000-0002-1456-8428"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjie Wang","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1456-8428","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2671,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76672426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"105131","last_page":"105147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9945999979972839,"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":0.8113054037094116},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6771382093429565},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5989588499069214},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5704757571220398},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5347095727920532},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5231479406356812},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5144968032836914},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.488827645778656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4802151620388031},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46698492765426636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292539060115814},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42291608452796936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.382321834564209},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3579407036304474},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3435227870941162},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.34272706508636475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15581175684928894},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0980093777179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8113054037094116},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6771382093429565},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5989588499069214},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5704757571220398},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5347095727920532},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5231479406356812},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5144968032836914},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.488827645778656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4802151620388031},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46698492765426636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292539060115814},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42291608452796936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.382321834564209},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3579407036304474},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3435227870941162},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.34272706508636475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15581175684928894},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0980093777179718},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3435384","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3435384","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7fbfe6482a8d458aae8c49a580a40ff1","is_oa":true,"landing_page_url":"https://doaj.org/article/7fbfe6482a8d458aae8c49a580a40ff1","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":"IEEE Access, Vol 12, Pp 105131-105147 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3435384","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3435384","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2279098554","https://openalex.org/W2479866714","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2769986739","https://openalex.org/W2808910047","https://openalex.org/W2962697884","https://openalex.org/W2962951509","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963857746","https://openalex.org/W2963923206","https://openalex.org/W2970987838","https://openalex.org/W2982083293","https://openalex.org/W2991089415","https://openalex.org/W2996919757","https://openalex.org/W3018757597","https://openalex.org/W3035414587","https://openalex.org/W3042011474","https://openalex.org/W3167976421","https://openalex.org/W3204014438","https://openalex.org/W4214700196","https://openalex.org/W4226025872","https://openalex.org/W4281790833","https://openalex.org/W4289752563","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4319073054","https://openalex.org/W4376149048","https://openalex.org/W4386076325","https://openalex.org/W4386419494","https://openalex.org/W4388768368","https://openalex.org/W4391307079","https://openalex.org/W4398226343","https://openalex.org/W4399330756","https://openalex.org/W6637373629","https://openalex.org/W6695314431","https://openalex.org/W6737664043","https://openalex.org/W6750227808","https://openalex.org/W6771062828","https://openalex.org/W6846863797"],"related_works":["https://openalex.org/W3205445068","https://openalex.org/W4382897155","https://openalex.org/W4283820116","https://openalex.org/W4379231512","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W3134004915","https://openalex.org/W4286647459","https://openalex.org/W2899819381","https://openalex.org/W2557202782"],"abstract_inverted_index":{"As":[0],"intelligent":[1,183],"transportation":[2,184],"systems":[3],"continue":[4],"to":[5,34,88,150],"evolve,":[6],"effective":[7],"traffic":[8,19,53,95,172],"sign":[9,54,173],"detection":[10,45,174],"is":[11],"crucial":[12],"for":[13,157,181],"enhancing":[14],"road":[15],"safety":[16],"and":[17,43,90,123,144,155],"managing":[18],"congestion":[20],"efficiently.":[21],"This":[22],"paper":[23],"introduces":[24],"the":[25,36,63,73,77,80,85,105,125,134],"YOLOv7-tiny-RCA":[26,135],"model,":[27],"a":[28,138,145],"novel":[29],"lightweight":[30],"approach":[31],"designed":[32],"specifically":[33],"address":[35],"dual":[37],"challenges":[38],"of":[39,79,142],"high":[40],"model":[41,67,136,168],"complexity":[42,71],"diminished":[44],"accuracy":[46],"in":[47,52],"long-distance":[48],"scenarios":[49],"commonly":[50],"faced":[51],"recognition.":[55],"By":[56],"integrating":[57],"an":[58,111],"improved":[59],"ELAN-REP":[60],"module":[61],"into":[62],"YOLOv7-tiny":[64],"backbone,":[65],"our":[66,167],"significantly":[68],"reduces":[69,124],"computational":[70,127],"during":[72],"inference":[74],"stage.":[75],"Additionally,":[76],"incorporation":[78],"CBAM":[81],"attention":[82],"mechanism":[83],"enhances":[84],"model\u2019s":[86],"capability":[87],"extract":[89],"fuse":[91],"relevant":[92],"information":[93],"from":[94,148],"scenes":[96],"more":[97],"effectively.":[98],"To":[99],"further":[100],"optimize":[101],"performance,":[102],"we":[103],"replaced":[104],"traditional":[106],"feature":[107],"fusion":[108],"network":[109],"with":[110],"Asymptotic":[112],"Feature":[113],"Pyramid":[114],"Network,":[115],"which":[116],"facilitates":[117],"better":[118],"interaction":[119],"between":[120],"different":[121],"layers":[122],"overall":[126],"burden.":[128],"Our":[129],"experimental":[130],"results":[131],"demonstrate":[132],"that":[133,166],"achieves":[137],"mean":[139],"Average":[140],"Precision":[141],"81.03%":[143],"parameter":[146],"reduction":[147],"6.13M":[149],"4.99M,":[151],"highlighting":[152],"its":[153],"efficiency":[154],"potential":[156],"deployment":[158],"on":[159],"edge":[160],"devices.":[161],"These":[162],"significant":[163],"improvements":[164],"indicate":[165],"not":[169],"only":[170],"advances":[171],"technologies":[175],"but":[176],"also":[177],"offers":[178],"practical":[179],"applications":[180],"modern":[182],"systems.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
