Overview of HAD validation and passive HAD as a concept for validating highly automated cars

Abstract

Abstract Highly automated driving (HAD) is under rapid development and will be available for customers within the next years. However, the evidence that HAD is at least as safe as human driving has still not been produced. The first part of this paper gives an overview over current approaches of validation and elaborates on the main challenges associated with them. In the second part, the Passive HAD approach is presented, which proposes a statistical validation of HAD by utilizing a fraction of the billions of kilometers driven every year by common drivers. To guarantee safety, the HAD function has access to sensors but its output is not executed, which results in an open loop problem. The loop is closed by a simulation which is based on the real life scenario and driver models individually matched to the surrounding traffic participants.