Reference : A visual AGV-urban car using Fuzzy control |
Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
Engineering, computing & technology : Electrical & electronics engineering | |||
http://hdl.handle.net/10993/10000 | |||
A visual AGV-urban car using Fuzzy control | |
English | |
Olivares Mendez, Miguel Angel ![]() | |
Mellado, I. [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group] | |
Campoy, P. [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group] | |
Mondragon, I. [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group] | |
Martinez, C. [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group] | |
2011 | |
Automation, Robotics and Applications (ICARA), 2011 5th International Conference on | |
Yes | |
Automation, Robotics and Applications (ICARA), 2011 5th International Conference on | |
December 2011 | |
[en] Autonomous ground vehicle ; Fuzzy Control ; Vision control ; driverless car | |
[en] 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. | |
http://hdl.handle.net/10993/10000 | |
10.1109/ICARA.2011.6144872 |
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