A dedicated hardware system for CNN stereo vision

Abstract

The stereo vision algorithm is a very promising technique in autonomous robotics to sense the environment. A successful implementation of this algorithm on Cellular Neural Networks (CNN) has been proposed. In this paper an analogue CNN hardware system able to perform such an algorithm is presented. This new system will be installed directly onto the robot and plays the role of a parallel analogue coprocessor.