{"id":"https://openalex.org/W4404031237","doi":"https://doi.org/10.1109/icccnt61001.2024.10723999","title":"Deep Learning Solutions for Real-World Traffic Sign Recognition: A Transfer Learning Approach","display_name":"Deep Learning Solutions for Real-World Traffic Sign Recognition: A Transfer Learning Approach","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031237","doi":"https://doi.org/10.1109/icccnt61001.2024.10723999"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10723999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025283124","display_name":"A Amruth","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amruth A","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041940320","display_name":"R Ramanan","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramanan R","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103572137","display_name":"C Vimal","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vimal C","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049043259","display_name":"B.M Beena","orcid":"https://orcid.org/0000-0001-9108-7073"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B.M Beena","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,Karnataka","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":3.1868,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94068669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890999794006348,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7288078665733337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272104620933533},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5985702276229858},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5522235035896301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5260857343673706},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5248113870620728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48180264234542847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05470457673072815}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7288078665733337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272104620933533},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5985702276229858},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5522235035896301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5260857343673706},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5248113870620728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48180264234542847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05470457673072815},{"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/icccnt61001.2024.10723999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":15,"referenced_works":["https://openalex.org/W2962951509","https://openalex.org/W3080354987","https://openalex.org/W3111897001","https://openalex.org/W3126557086","https://openalex.org/W4220773165","https://openalex.org/W4283524135","https://openalex.org/W4313010562","https://openalex.org/W4313313350","https://openalex.org/W4318777819","https://openalex.org/W4320921143","https://openalex.org/W4361011071","https://openalex.org/W4365146691","https://openalex.org/W4382459033","https://openalex.org/W4387191845","https://openalex.org/W6750715008"],"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/W4206357785"],"abstract_inverted_index":{"This":[0,53],"study":[1],"addresses":[2],"the":[3,36,56,103,144,154,164],"optimization":[4],"of":[5,39,58,83,87,92,114,123,140,148,156],"deep":[6],"learning":[7,10,41,60],"and":[8,21,70,90,143,158,174,189],"transfer":[9,40,59],"models":[11],"for":[12,100,132,166,183],"Traffic":[13,24],"Sign":[14,25],"Recognition":[15,26],"(TSR)":[16],"under":[17],"diverse":[18],"environmental":[19],"conditions":[20],"class":[22],"imbalances.":[23],"Database":[27],"(TSRD)":[28],"is":[29],"used":[30],"in":[31,42,47,61,160,176,185],"this":[32],"research":[33,54],"study.":[34],"Despite":[35],"widespread":[37],"application":[38],"various":[43],"domains,":[44],"its":[45],"implementation":[46],"TSR":[48,62,133,161],"has":[49],"been":[50],"relatively":[51],"unexplored.":[52],"evaluates":[55],"efficacy":[57],"using":[63],"three":[64],"neural":[65],"network":[66],"architectures:":[67],"ResNet-18,":[68],"ResNet34,":[69],"VGG-19.":[71],"The":[72,151],"study\u2019s":[73],"findings":[74],"reveal":[75],"that":[76],"ResNet-18":[77,157],"outperforms":[78],"others,":[79],"achieving":[80],"an":[81,112],"accuracy":[82,113,139],"$88.47":[84],"\\%$,":[85,89,94,116],"precision":[86],"$85.20":[88],"recall":[91],"$80.55":[93],"while":[95],"requiring":[96],"only":[97],"254.136":[98],"seconds":[99],"training":[101,121,146],"on":[102],"A100":[104],"GPUs.":[105],"ResNet-34":[106,159],"also":[107],"demonstrates":[108],"considerable":[109],"efficiency":[110],"with":[111,135],"$87.47":[115],"but":[117],"at":[118],"a":[119,136,167],"longer":[120],"duration":[122],"372.95286":[124],"seconds.":[125,150],"In":[126],"contrast,":[127],"VGG-19":[128],"shows":[129],"limited":[130],"suitability":[131],"tasks,":[134],"much":[137],"lower":[138],"$5.32":[141],"\\%$":[142],"longest":[145],"time":[147],"1256.9595":[149],"results":[152],"underscore":[153],"potential":[155],"applications,":[162],"highlighting":[163],"need":[165],"balanced":[168],"approach":[169],"towards":[170],"accuracy,":[171],"computational":[172],"efficiency,":[173],"robustness":[175],"varying":[177],"conditions.":[178],"These":[179],"insights":[180],"are":[181],"significant":[182],"advancements":[184],"autonomous":[186],"navigation":[187],"systems":[188],"enhancingroad":[190],"safety.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
