Repositorio de producción científica de la Universidad de Sevilla

Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

 

Advanced Search
 
Opened Access Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
Cites

Show item statistics
Icon
Export to
Author: Arcos García, Álvaro
Álvarez García, Juan Antonio
Soria Morillo, Luis Miguel
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2018-03-01
Published in: Neural Networks, 99, 158-165.
Document type: Article
Abstract: This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Co...
[See more]
Cite: Arcos García, Á., Álvarez García, J.A. y Soria Morillo, L.M. (2018). Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods. Neural Networks, 99, 158-165.
Size: 877.3Kb
Format: PDF

URI: https://hdl.handle.net/11441/80679

DOI: 10.1016/j.neunet.2018.01.005

See editor´s version

This work is under a Creative Commons License: 

This item appears in the following Collection(s)