Artificial Intelligence System for Automobile Braking Control

Abstract

An Artificial Intelligence (AI) algorithm based on neural networks is developed, which allows controlling the braking system of a car. For this, a simulation model is used that allows for testing the neural network (NN) algorithm. The input parameters to the neural network are the speed of the car and the proximity to the car that is ahead called the safety distance, while an output parameter is the information available to activate the Brake System. Other parameters used in the weighting of the error function associated with the RN are the driving mode, for example, driving fast or slow, or when driving fast, applying the brakes more frequently. In the first instance, the algorithm learns the driving mode, forward speed, braking, and proximity to the front vehicle. Then, the algorithm must be tested in unknown situations and the learning capacity must be verified.

Keywords

• artificial intelligence, braking system, autonomous driving.