Features Image Analysis for Road Following Algorithm Using Neural Networks

Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community. In order to execute a autonomous driving on outdoors, like street and roads, it is necessary that the vehicle identify parts of the terrain that can be traversed and parts that should be avoided. This paper describes an analyses of an image-based terrain identification based on different visual information using a multi-layer perceptron neural network. Experimental tests using a car and a video camera have been conducted in real scenarios to evaluate the proposed features and networks.