Neurocontrol Car Driving by Assistance Of Radar Networks System

Abstract

In this paper we are concerned with the construction of an artificial intelligence program as a neurocontroller for safely driving a car in the road with different probable situations. This research mainly interested in the use of neural network (NN) and its work with radars. The proposed approach deals with decision-making mechanisms depending on the target position. The main novelty in this paper lies in the NN controlling depending on the front and back radars readings. This neurocontroller decides car status to increase or decrease acceleration, and turning direction with steering angle to the left or the right while accelerating. Results showed the good capability of this controller with emphasis on skills learning behavior.