A LabVIEW-based Autonomous Vehicle Navigation System using Robot Vision and Fuzzy Control

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Autor principal: J.M. Ramírez-Cortés
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional Autónoma de México 2011
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author J.M. Ramírez-Cortés
author_facet J.M. Ramírez-Cortés
contents A LabVIEW-based Autonomous Vehicle Navigation System using Robot Vision and Fuzzy Control J.M. Ramírez-Cortés J. Martínez-Carballido P. Gómez-Gil F. López-Larios Ingeniería Fuzzy robot vision control autonomous This paper describes a navigation system for an autonomous vehicle using machine vision techniques applied to real-time captured images of the track, for academic purposes. The experiment consists of the automatic navigation of a remote control car through a closed circuit. Computer vision techniques are used for the sensing of the environment through a wireless camera. The received images are captured into the computer through the acquisition card NI USB-6009, and processed in a system developed under the LabVIEW platform, taking advantage of the toolkit for acquisition and image processing. Fuzzy logic control techniques are incorporated for the intermediate control decisions required during the car navigation. An efficient approach based on logic machine-states is used as an optimal method to implement the changes required by the fuzzy logic control. Results and concluding remarks are presented. 2011 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40419907002 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.2 Vol.XII
format Artículo científico
id redalyc_40419907002
institution Redalyc
language en
publishDate 2011
publisher Universidad Nacional Autónoma de México
spellingShingle A LabVIEW-based Autonomous Vehicle Navigation System using Robot Vision and Fuzzy Control
J.M. Ramírez-Cortés
Ingeniería
Fuzzy
robot
vision
control
autonomous
A LabVIEW-based Autonomous Vehicle Navigation System using Robot Vision and Fuzzy Control J.M. Ramírez-Cortés J. Martínez-Carballido P. Gómez-Gil F. López-Larios Ingeniería Fuzzy robot vision control autonomous This paper describes a navigation system for an autonomous vehicle using machine vision techniques applied to real-time captured images of the track, for academic purposes. The experiment consists of the automatic navigation of a remote control car through a closed circuit. Computer vision techniques are used for the sensing of the environment through a wireless camera. The received images are captured into the computer through the acquisition card NI USB-6009, and processed in a system developed under the LabVIEW platform, taking advantage of the toolkit for acquisition and image processing. Fuzzy logic control techniques are incorporated for the intermediate control decisions required during the car navigation. An efficient approach based on logic machine-states is used as an optimal method to implement the changes required by the fuzzy logic control. Results and concluding remarks are presented. 2011 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40419907002 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.2 Vol.XII
title A LabVIEW-based Autonomous Vehicle Navigation System using Robot Vision and Fuzzy Control
topic Ingeniería
Fuzzy
robot
vision
control
autonomous
url https://www.redalyc.org/articulo.oa?id=40419907002