A visual AGV-urban car using Fuzzy control

Miguel A. Olivares-Mendez, Ignacio Mellado, Pascual Campoy, Ivan Mondragon, Carol Martinez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

The goal of the work described in this paper 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 30Hz. 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.

Original languageEnglish
Title of host publicationICARA 2011 - Proceedings of the 5th International Conference on Automation, Robotics and Applications
Pages145-150
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event5th International Conference on Automation, Robotics and Applications, ICARA 2011 - Wellington, New Zealand
Duration: 06 Dec 201108 Dec 2011

Publication series

NameICARA 2011 - Proceedings of the 5th International Conference on Automation, Robotics and Applications

Conference

Conference5th International Conference on Automation, Robotics and Applications, ICARA 2011
Country/TerritoryNew Zealand
CityWellington
Period06/12/1108/12/11

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