A cellular neural network stereo vision system for autonomous robot navigation

Abstract

A complex sensor based control system is presented. The sensor used is a pair of TV cameras providing a stereogram for a stereo vision system based on a cellular neural network. The information thus extracted is used to perform indoor navigation of a robotised platform. Experimental data are provided for a simulated version of the CNN employed. Details of the in progress hardware implementation of the neural system are given.