Architecting Safety Supervisors for High Levels of Automated Driving
This work tackles safety assurance for automated driving systems, but it appears incremental as it builds on existing concepts without demonstrating new breakthroughs.
The paper addresses the challenge of ensuring safety in automated driving by proposing a fault-tolerant Autonomous Driving Intelligence architecture with a safety supervisor channel to complement nominal functionality, though no concrete performance results or numbers are provided.
The complexity of automated driving poses challenges for providing safety assurance. Focusing on the architecting of an Autonomous Driving Intelligence (ADI), i.e. the computational intelligence, sensors and communication needed for high levels of automated driving, we investigate so called safety supervisors that complement the nominal functionality. We present a problem formulation and a functional architecture of a fault-tolerant ADI that encompasses a nominal and a safety supervisor channel. We then discuss the sources of hazardous events, the division of responsibilities among the channels, and when the supervisor should take over. We conclude with identified directions for further work.