Simulátor řízení aut s využitím platformy V-REP

Abstract

The content of this thesis is a description of the implementation of a program that controls a car model by a neural network, simulated using the V-REP platform. The first part of the thesis is devoted to neural networks. It is followed by an introduction and a detailed description of the V-REP program. The next part is concerned with the application ensuring communication itself, and the acquisition and processing of the data from the simulator, including the controlling of the car using artificial intelligence. The last part focuses on extensions of the used neural networks.