Validation of highly automated safe and secure systems

Abstract

Due to the constantly growing global population and the ageing society, the CO2 production as well as the demand for mobility is constantly rising and hence needs new concepts as offered by advanced driver assistance systems up to fully automated vehicles. If existing approaches were used for these new concepts, the validation of these systems would require unacceptable long validation times and high costs. Therefore, new validation methods are necessary. The extensive use of validation in mixed real and virtual environments together with statistical methods of combinatorial testing offers promising solutions. Standardization of scenarios and learning validation schemes can reduce the validation effort to an acceptable level.