Image-based Homing Using a Self-organizing Feature Map
نویسنده
چکیده
This paper presents a biologically inspired method for the navigation of autonomous mobile systems. The method calculates the way from a current position to a target position using one-dimensional 360° images, taken at these positions. The correlations between the two images are generated by using a modified version of Kohonen’s self-organizing feature map. The direction to the target position is calculated from the weight vectors of the trained network. Experiments with a small robot prove the method to be stable and exact.
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Controlling a Robot With Image-based Homing
Abstract. This paper presents a biologically inspired method for the navigation of autonomous mobile systems. The method calculates the way from a current position to a target position using one-dimensional 360° images, taken at these positions. The correlations between the two images are generated by using a modified version of Kohonen’s self-organizing feature map. The direction to the target...
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