Improving Intelligent Vehicle Dependability by Means of Infrastructure-Induced Tests

Abstract

Advanced driver assistance systems (ADAS) take over more and more driving responsibilities from the human operator and, therefore, evolve into safety-critical systems. Thus, the dependability of such systems is of up-most importance. While upcoming automobiles themselves will implement fault-tolerance and robustness mechanisms, it can be beneficial to also take infrastructure measures into account when assessing the overall vehicle dependability. In this paper we discuss an example of an infrastructure measure that targets to improve the dependability of an on-board computer vision system. Based on this example we outline a cyber-physical systems (CPS) architecture for intelligent vehicles and address open research directions.