- -

A Multisensor System for Road Surface Identification

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by


A Multisensor System for Road Surface Identification

Show full item record

Safont, G.; Salazar Afanador, A.; Rodríguez, A.; Vergara Domínguez, L. (2019). A Multisensor System for Road Surface Identification. IEEE. 703-706. https://doi.org/10.1109/CSCI49370.2019.00132

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/180927

Files in this item

Item Metadata

Title: A Multisensor System for Road Surface Identification
Author: Safont, Gonzalo Salazar Afanador, Addisson Rodríguez, Alberto Vergara Domínguez, Luís
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
[EN] This work introduces a multisensor road surface identification system that considers features from four different kind of sensors: microphones, accelerometers, speed signals, and handwheel signals. Features are extracted ...[+]
Subjects: Classification , Road surface identification , Feature selection , Audio signals , Self-driving-vehicles
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-7281-5584-5
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
DOI: 10.1109/CSCI49370.2019.00132
Publisher version: https://doi.org/10.1109/CSCI49370.2019.00132
Conference name: 6th Annual Conference on Computational Science & Computational Intelligence (CSCI'19)
Conference place: Las Vegas, USA
Conference date: Diciembre 05-07,2019
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-84743-P/ES/METODOS INFORMADOS PARA LA SINTESIS DE SEÑALES/
This work was supported by Spanish Administration and European Union grant TEC2017-84743-P, and Generalitat Valenciana under grant PROMETEO/2019/109.
Type: Comunicación en congreso Capítulo de libro



This item appears in the following Collection(s)

Show full item record