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 mailto [Universidad Politecnica de Madrid (UPM) - Centro de Automatica y Robotica (CAR) > Computer Vision Group]
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

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
A Visual AGV-urban Car using Fuzzy Control_ICAS12.pdfPublisher postprint1.5 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.