Development Of A Real-Time Traffic Sign Recognition System Based On Deep Learning Approach With Convolutional Neural Networks And Integrating To The Embedded Systems

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dc.contributor.authorAkgül Batur Alp
dc.contributor.authorHAZNEDAR BÜLENT
dc.contributor.authorHASOĞLU MUHAMMET FATİH
dc.contributor.authorBAYRAM KADİR SERCAN
dc.contributor.authorHasoğlu, Muhammet Fatih
dc.contributor.authorBayram, Kadir Sercan
dc.date.accessioned2026-06-12T11:50:46Z
dc.date.issued2021
dc.descriptionindex copernicus, esji | YÖK-Özgeçmiş
dc.identifier.doi10.38065/euroasiaorg.481
dc.identifier.issn2667-6702
dc.identifier.urihttps://hdl.handle.net/20.500.11782/6438
dc.relation.ispartofEuroasia Journal of Mathematics, Engineering, Natural & Medical Sciences
dc.titleDevelopment Of A Real-Time Traffic Sign Recognition System Based On Deep Learning Approach With Convolutional Neural Networks And Integrating To The Embedded Systems
dspace.entity.typePublication
relation.isAuthorOfPublication236c16a0-fac1-417d-a670-8e3ec566f2c2
relation.isAuthorOfPublication42402b19-86ab-4ecf-9951-fb6645bb9660
relation.isAuthorOfPublication.latestForDiscovery236c16a0-fac1-417d-a670-8e3ec566f2c2

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