Towards Fault Injection Modules for Functionality Checks in MEMS-based LiDAR Systems

Abstract

Advanced Driver Assistance Systems (ADAS) are increasingly being installed in vehicles. The aim is to make the car highly automated. Thus, the demands on such ADAS or systems that are necessary for these ADAS are increasing analogously. The systems must be fault-tolerant and reliable. For this purpose, it is necessary that the individual systems themselves are continuously checked by monitors. But even such monitors can fail. It is therefore important that the monitors are also constantly checked. For example, faults can be intentionally injected into the system in order to observe the subsequent reaction of the monitor. For highly automated vehicles, it is obviously necessary to apply more and more sophisticated fault injection methods in order to detect faults in the system at an early stage and accordingly replace components before a possible failure. In case, preventive maintenance is no longer possible, the system should be able to provide at least part of its functionality - fail-operational - or be shut down completely - fail-safe. In this publication, an architecture with corresponding fault injection modules for MEMS-based LiDAR systems is proposed. The architecture has been implemented in an FPGA prototyping platform to demonstrate its feasibility and evaluate its performance.