Autonomous Guided Car Using a Fuzzy Controller

نویسندگان

  • Miguel A. Olivares-Méndez
  • Pascual Campoy Cervera
  • Ignacio Mellado
  • Iván Fernando Mondragón
  • Carol Martínez
  • José Luis Sánchez-López
چکیده

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. Based on A Visual AGV-Urban Car using Fuzzy Control, by Miguel A. Olivares-Mendez and Pascual Campoy and Ignacio Mellado and Ivan Mondragon and Carol Martinez which appeared in the Proceedings of the 5th International Conference on Automation, Robotics and Applications (ICARA 2011). 2011 IEEE All the authors belong to Computer Vision Group Universidad Politénica de Madrid. www.vision4uav.eu Miguel A. Olivares-Mendez e-mail: [email protected] Pascual Campoy e-mail: [email protected] Ignacio Mellado-Bataller e-mail: [email protected] Ivan Mondragon e-mail: [email protected] Carol Martinez e-mail: [email protected] www.vision4uav.eu/?q=researchline/agv1

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تاریخ انتشار 2011