Simulation-Based Robust Design of an Automatic Emergency Braking System Considering Sensor Measurement Errors

Vehicular safety functions can increase driving safety by intervening in dangerous situations. However, as such functions rely on sensor measurements to decide actions, they are subject to sensor measurement errors which influence the performance. Therefore, a manufacturer has to design both the sensors and functions in a robust manner considering these errors. A methodology for such a robust design has already been proposed for an automatic emergency braking system and is based on a probabilistic quality measure. It is often only possible to evaluate the involved probabilities through simulations of the system at hand which can require enormous computational effort. The goal of this thesis is to find an efficient way of evaluating these probabilities based on simulations in order to reduce the computational effort.