CNN processing techniques for image-based path planning of a mobile robot

The paper presents methods for images processing in order to path planning of a mobile robot in an environment with obstacles. The CNNs (Cellular Neural Networks) methods have been considered a good solution for image processing in autonomous mobile robots guidance. The choice of CNNs for the visual processing part is based on the possibility of their hardware implementation in large networks on a single VLSI chip and their capability to make parallel processing.