The transition from manually driven vehicles to autonomous vehicles is in full swing. Large-scale pilot fleets open to the public have shown that the algorithms for autonomous driving have already reached a high level of maturity. However, a series of accidents involving these pilot fleets has also shown that there is still a need for research in the Division of safety.

In his dissertation, Martin Stoffel presents an early concept for a fail-operational E/E architecture for autonomous vehicles that can both detect and mask random hardware failures.

This successful dissertation was the result of an outstanding collaboration with Torc Robotics. The company where Martin Stoffel works is an independent subsidiary of Daimler Truck and specializes in hardware and software for autonomous driving systems for long-haul commercial vehicles in North America.