An overview and review of testing methods for the verification and validation of ADAS, active safety systems, and autonomous driving

Abstract

The number of advanced driver assistance systems has increased dramatically in recent years. This led to a need for the development of testing methods to prove the quality and reliability of such systems. This publication presents an overview of the testing methods used in the automotive industry for the verification and validation of advanced driver assistance systems (ADAS), active safety, and autonomous driving systems. The first part presents the approach to X-in-the-loop testing such as model, software, hardware, etc., presenting the most interesting implementations. Then it discusses testing in proven areas like road traffic, artificial cities, and test tracks. The last part presents validation in the laboratory using both invasive and non-invasive methods based on virtual test drives, sensor stimulators and chassis dynamometers. Moreover, we identified the most promising approaches for the efficient verification and validation of ADAS, active safety and autonomous driving systems. Finally, we address some gaps in the research which require further investigation.