Method to Derive Monetarily Effective Parameters for ADAS at Parking and Maneuvering

The effectiveness of ADAS addressing property damage has an increasing impact on car manufacturers, insurers and customers, as accident avoidance or mitigation can lead to loss reduction. In order to obtain benefits, it is essential that ADAS primarily address monetarily relevant accident scenarios. Furthermore, sensor technologies and algorithms have to be configured in a way that relevant accident situations can be sufficiently avoided at reasonable system costs. A new methodology is developed to identify and configure monetarily effective parameters for ADAS during parking and maneuvering. ADAS parameters e.g. relevant accident scenarios, required crash avoidance speeds and different sensor layouts are analyzed and evaluated using a real-world in-depth accident database of insurance claims provided by Allianz Center for Technology and Allianz Automotive Innovation Center. For this purpose, a sensitivity analysis is conducted to identify most monetarily effective accident scenarios. Furthermore, a new cost-benefit approach is pursued, to determine monetarily effective parameter configurations. For each configuration, e.g. high crash avoidance speed vs. low crash avoidance speed, the corresponding monetary effectiveness is evaluated. To avoid over-engineering ADAS functionalities, parameter configurations with the highest incline in monetary effectiveness are determined using derivation. The proposed new method allows an economic development of monetarily effective ADAS and is applied to the example of a luxury class vehicle and an exemplary 360° parking and maneuvering emergency braking system.