Sistema de identificação de superfícies navegáveis baseado em visão computacional e redes neurais artificiais

Abstract

Autonomous navigation is a fundamental problem in mobile robotics. In order to perform this task, a robot must identify the areas where it can navigate safely. This dissertation proposes a navigable terrain identification system based on computer vision and neural networks. More specifically, it is presented a study of image attributes, such as statistical decriptors and elements of different color spaces, that are used as neural neworks inputs for the navigable surfaces identification.