CVGIP: Image Understanding
Controlling the Execution of a Visual Servoing Task
Journal of Intelligent and Robotic Systems
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Recently, appearance-based approaches have attracted the interests of computer vision researchers. Based on this idea, an appearance-based navigation method using the View-Sequenced Route-Representation model is proposed. A couple of parallel cameras is used to take low-resolution fontal images along the route to follow. Then, zero mean cross correlation is used as image comparison criterion to perform auto-location and control of the robot using only visual information. Besides, a sensibility analysis of the navigation parameters has been carried out to try to optimize the accuracy and the speed in route following. An exhaustive number of experiments using a 4-wheel drive robot with synchronous drive kinematics have been carried out.