# Architecting Safety Supervisors for High Levels of Automated Driving

arXiv: https://arxiv.org/abs/1912.02796 · HTML: https://mlsanity.com/paper/1912.02796/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Dec 2019.

## Built on by (most cited first, 3 of 3)

- [Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review](https://mlsanity.com/paper/2110.08664/) (2021)
- [Savvy: Trustworthy Autonomous Vehicles Architecture](https://mlsanity.com/paper/2402.14580/) (2024)
- [Characterization and Mitigation of Insufficiencies in Automated Driving Systems](https://mlsanity.com/paper/2404.09557/) (2024)

## Abstract (arXiv)

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.