Real world traffic accident databases allow an accurate determination of the effectiveness of Advanced Driver Assistance Systems (ADAS). Research shows that accidents with property damage have been increasing while accidents with bodily injury have fortunately decreased in the last decades. This development requires a shifted focus, from databases targeting bodily injury e.g. GIDAS, towards a new database setup that complies with requirements which occur when investigating property damage. The accurate evaluation of ADAS that mitigate or avoid property damage will help car manufactures developing future systems and insurers calcu- lating future premiums. This paper describes a new method to analyze real world property damages and an approach to monetarily evaluate ADAS in terms of benefits for customers and insurances. An in-depth accident database containing 5,000 property damage accident cases is created by Allianz Center for Technology (AZT) and Allianz Automotive Innovation Center (AIC) using insurance claim files. Evaluating insurance data enables the analysis of a holistic image of traffic accidents retrospectively and the determination of the monetary ben- efit of a certain ADAS. The proposed method to assess property damage applying a new setup of a retrospective in-depth database and utilizing the data to develop test scenarios that create the foundation of further pro- spective evaluation analysis of future ADAS is discussed. This paper presents an application of the proposed method for the field of parking and maneuvering, which accounts for up to 50 % percent of insurance reported collision claims depending on the vehicle model.