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Publication type: Article in Proceedings
Author: Thomas Röfer
Editor: Francoise Fogelman-Soulie, Patrick Gallinari
Title: Image based homing using a self-organizing feature map
Book / Collection title: Proceedings of the International Conference on Artificial Neural Networks (ICANN-95)
Volume: 1
Page(s): 475 – 480
Year published: 1995
Publisher: EC2 & Cie
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 one­dimensional 360° images, taken at these positions. The correlations between the two images are generated by using a modified version of Kohonen's self­organizing 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.
PostScript Version: http://www.informatik.uni-bremen.de/kogrob/papers/icann95.ps.gz
Status: Reviewed
Last updated: 06. 11. 2013

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