Application of Artificial Neural Networks to Streamline the Process of Adaptive Cruise Control

This article deals with the use of neural networks for estimation deceleration model parameters adaptive cruise control unit. The describes basic functionality and creates a mathematical braking, which is one functions control. Furthermore, an analysis influences acting in braking process performed, most significant are used design prediction unit using networks. Such connection artificial modern sensors can be another step towards full vehicle autonomy. advantage this approach original networks, refines determination value front static or dynamic obstacle, while including number that affect thus increase driving safety.