We provide a review of recent work on formal methods for autonomous driving. Formal
methods have been traditionally used to specify and verify the behavior of computer …

One significant barrier in introducing autonomous driving is the liability issue of a collision;
eg when two autonomous vehicles collide, it is unclear which vehicle should be held …

This paper paves the way for a future scenario catalog-based approach to acceptance
testing for highly autonomous vehicles by providing a rigorous formal semantics for a visual …

In a series of contributions Olderog et al. have formulated and verified safety controllers for a
number of lane-maneuvers on multi-lane roads. Their work is characterized by great clarity …

We adapt the Multi-lane Spatial Logic MLSL, introduced in [1] for proving the safety (collision
freedom) of traffic manoeuvres on multi-lane motorways, where all cars drive in one …

Abstract With Multi-lane Spatial Logic (MLSL), we can prove safety (collision freedom) on
multi-lane motorways and country roads. In this work, we consider an extension of MLSL to …

This paper details the design of an autonomous vehicle CAD toolchain, which captures
formal descriptions of driving scenarios in order to develop a safety case for an autonomous …

Automated vehicles (AV) heavily depend on robust perception systems. Current methods for
evaluating vision systems focus mainly on frame-by-frame performance. Such evaluation …

Cooperating cyber-physical systems-of-systems (CO-CPS) such as vehicle platoons, robot
teams or drone swarms usually have strict safety requirements on both spatial and temporal …

The specification of Multi-lane Spatial Logic (MLSL) was introduced in [1, 2] for proving
safety (collision freedom) on multi-lane motorways and country roads. We now consider an …