Autonomous guided car using a fuzzy controller

Miguel A. Olivares-Mendez, Pascual Campoy, Ignacio Mellado-Bataller, Ivan Mondragon, Carol Martinez, Jose Luis Sanchez-Lopez

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1 Cita (Scopus)

Resumen

The goal of the work described in this chapter is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just the visual information of a line painted below the car. In order to implement the control of the vehicle, a Fuzzy Logic controller has been implemented, that has to be robust against curvature changes and velocity changes. The only input information for the controller is the visual distance from the image center captured by a camera pointing downwards to the guiding line on the road, at a commercial frequency of 30 Hz. The good performance of the controller has successfully been demonstrated in a real environment at urban velocities. The presented results demonstrate the capability of the Fuzzy controller to follow a circuit in urban environments without previous information about the path or any other information from additional sensors.

Idioma originalInglés
Título de la publicación alojadaRecent Advances in Robotics and Automation
EditoresGourab Sen Gupta, Donald Bailey, Serge Demidenko, Dale Carnegie
Páginas37-55
Número de páginas19
DOI
EstadoPublicada - 2013

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen480
ISSN (versión impresa)1860-949X

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