In the future, automated vehicles will have to prove for safety assessment and homologation that they can master complex traffic scenarios using sensors and algorithms. To provide this proof poses great challenges for classic test procedures and will lead to numerous virtual tests in simulation. Nevertheless, how can we ensure sufficient trust and validity in the simulation models to pave the way for automated driving?


This project aims to develop and implement an innovative validation methodology for the simulation of driver assistance systems and automated vehicles. The project is characterized by a close cooperation with a large testing organization and a Bavarian university. An essential component is the development of a process chain consisting of simulations, proving ground and field tests. We aim to evaluate the quality of the simulation models in comparison with test data from real automated vehicles in order to ensure trust and validity for future homologation. In addition, we are planning to participate in standardization activities in the field of simulation.