Identification of performance limitations of sensing technologies for automated driving

Today's automotive functions are more and more complex, because of the automation of driving assistance to different levels of automated driving. Functions like Extended-Automated Emergency Braking (E-AEB) are implemented by Automated Driving System (ADS), which are intended to improve active safety of road vehicles such as cars, trucks, and buses. ADS functions are safety-critical in sense of Functional Safety according to ISO 26262, because any malfunction may lead to a harm of people. Limitations of sensor technologies and algorithms of ADS can lead to an unwanted hazardous situation, which is addressed in the first Public Available Specification (PAS) called Safety of the intended Functionality (SOTIF, ISO/PAS 21448). This paper presents a work in progress of a systematic workflow to identify the so-called “triggering events” of sensing units based on camera and Light Detection And Ranging (LIDAR). The workflow has been used for a systematic analysis to identify triggering events of relevant sensor technologies for an E-AEB use case. In the last step, an evaluation of sensor modelling tools for simulation of sensor imperfections has been performed. Furthermore, the results will be used to derive simulation test cases for verification and validation of such sensing technology.