A multi-modal importance sampling approach for the probabilistic safety assessment of automated driver assistance systems

In this paper, we present a stochastic approach for the reliability evaluation of specific traffic scenarios as one component in the validation procedure of Advanced Driver Assistance Systems (ADAS). In this analysis, the control device is represented as a simulation model using software-in-the-loop technology. Specific inputs of this simulated controller are modeled as scalar random inputs. Based on a definition of a failure criterion, the well known reliability method can be applied. In the present paper, a variance reduced importance sampling strategy for multiple failure regions is presented, which was developed for a scenario-based safety assessment framework.