Application Oriented Identification of External Influence Factors on Sensing for Validation of Automated Driving Systems

Validation is essential for the development of automated driving systems (ADS). The complexity of these systems raises the difficulty of testcase generation for validation. Combination of conventional specification-based method and risk-based method is a possible way to systematically and efficiently achieve test cases. As a prerequisite for the risk-based testcase generation, external influence factors on the ADS capabilities should be identified. Since environment perception sensors are the main interfaces between external world and ADS systems, the external influence factors on sensing are the main factors which influence the system capabilities, and therefore should firstly be identified for the sake of testcase generation. In this paper, a method is introduced to identify external influence factors on sensing of ADS. As an example, the influence factors on adaptive cruise control (ACC) system are analyzed and identified.