IN-VEHICLE SYSTEM FOR ESTIMATION OF RISK EXPOSURE FOR AN AUTONOMOUS VEHICLE

The present invention relates to methods and in-vehicle processing systems for estimating a risk exposure of a vehicle equipped with an automated driving system (ADS). In particular the present invention relates to run-time estimations of the risk exposure of an ADS-equipped vehicle that accounts for the second order risk, i.e. the risk which an adverse event imposes on the ADS-equipped vehicle while accounting for the ADS's capability of avoiding an incident (e.g. near-collision or collision) should the adverse event take place.