  For the offline safety assessment of automated vehicles, the most challenging
and critical scenarios must be identified efficiently. Therefore, we present a
new approach to define challenging scenarios based on a sensor setup model of
the ego-vehicle. First, a static optimal approaching path of a road user to the
ego-vehicle is calculated using an A* algorithm. We consider a poor perception
of the road user by the automated vehicle as optimal, because we want to define
scenarios that are as critical as possible. The path is then transferred to a
dynamic scenario, where the trajectory of the road user and the road layout are
determined. The result is an optimal road geometry, so that the ego-vehicle can
perceive an approaching object as poorly as possible. The focus of our work is
on the highway as the Operational Design Domain (ODD).
