A new board for CNN stereo vision algorithm

Abstract

Artificial vision for environment recognition is a very useful tool in autonomous robotics. Specifically the use of stereo vision algorithms implemented via a hardware neural architecture allows real time scene reconstruction. In this paper the follow-on of previous work on an analogue hardware Cellular Neural Network implementation of the algorithm is presented. In this paper a new CNN based PCI electronic board is presented.