| 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 oneÂdimensional 360° images, taken at these positions. The correlations between the two images are generated by using a modified version of Kohonen's selfÂorganizing 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 |
