A generic architecture of ADAS sensor fault injection for virtual tests

Abstract

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.