A method for estimating an accident risk of an autonomous driving unit produces helpful results with fewer autonomous driving cycles. From driving values, which have been determined from monitoring at least one driving parameter of the driving unit during autonomous driving, an autonomous-driving quantity is determined quantifying an autonomous-driving quality of the driving of the driving unit. The autonomous-driving quantity is associated with a plurality of manual-driving quantities, which have been determined from the same driving parameter during manual driving periods of different driving units. An autonomous-driving accident rate value is determined from accident rate values associated to those manual-driving quantities.
METHOD AND SYSTEM FOR ESTIMATING AN ACCIDENT RISK OF AN AUTONOMOUS VEHICLE