Low-cost deep learning-based prototype for automatic identification of traffic signs in vehicles

García González, Enol; Villar Flecha, José Ramón; Cal Marín, Enrique Antonio de la

doi:10.1007/978-3-030-87869-6_9

Repositorio

Cómo publicar

Recursos

FAQs

Mostrar el registro sencillo del ítem

Low-cost deep learning-based prototype for automatic identification of traffic signs in vehicles

dc.contributor.author	García González, Enol
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.date.accessioned	2022-03-11T07:30:03Z
dc.date.available	2022-03-11T07:30:03Z
dc.date.issued	2022
dc.identifier.isbn	9783030878696
dc.identifier.isbn	9783030878689
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10651/62240
dc.description	International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (16th. 2021. Bilbao)
dc.description.sponsorship	This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R, PID2020-112726RB-I00.
dc.format.extent	p. 91-100
dc.language.iso	eng
dc.relation.ispartof	16th international conference on soft computing models in industrial and environmental applications (soco 2021)
dc.rights	© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.rights	CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	WOS:000719656700009
dc.title	Low-cost deep learning-based prototype for automatic identification of traffic signs in vehicles
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-030-87869-6_9
dc.relation.projectID	MICINN/MINECO-TIN2017-84804-R
dc.relation.projectID	MICINN/PID2020-112726RB-I00
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-030-87869-6_9
dc.rights.accessRights	open access
dc.type.hasVersion	AM

Ficheros en el ítem

Nombre:: SOCO2021_Enol.pdf
Tamaño:: 4.871Mb
Formato:: PDF
Descripción:: Postprint

Este ítem aparece en la(s) siguiente(s) colección(ones)

Informática [761]
Investigaciones y Documentos OpenAIRE [7577]
Publicaciones resultado de proyectos financiados con fondos públicos
Ponencias, Discursos y Conferencias [3884]

Mostrar el registro sencillo del ítem

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

Este ítem está sujeto a una licencia Creative Commons