A generic architecture of ADAS sensor fault injection for virtual tests

This paper deals with an advanced approach for the verification of ADAS algorithms in complex automotive sensor networks. We introduce a real-time modular framework that can benchmark the performance of the ADAS algorithms at the electronic system level using a Hardware-in-the-Loop (HiL) co-simulation. The presented research provides a generic architecture of ADAS sensor error injection for robustness testing of the System under Test (SuT). Effects of sensor failures can be added in a continuous manner to achieve increased degrees of realism. For efficient verification, an astute selection of relevant test scenarios is conducted using model-based testing to avoid repetitive test scenarios. The industry-proven framework facilitates a systematic testing of ADAS algorithms precisely and more efficiently on the target electronic control unit (ECU) in the laboratory.