A New Method for Mathematically Proving the Safety of Automated Driving Vehicles
— Accelerating Social Acceptance of Automated Driving by Efficiently Deriving Logical Safety Rules —

A news release from NII and JST:

The research team led by HASUO Ichiro at the National Institute of Informatics (NII, Japan) developed a methodology to provide strong mathematical safety guarantees to automated driving vehicles, together with its underlying theory on formal logic. This research was conducted under the ERATO MMSD project funded by the Japan Science and Technology Agency (JST, Japan).

Building on the existing methodology called “Responsibility-Sensitive Safety (RSS)” for mathematical proofs of automated driving safety, the research established its extension called “Goal-Aware RSS (GA-RSS)” that expands RSS’s application domain to a variety of real-world driving scenarios. Specifically, the techniques in GA-RSS derived from theoretical results in formal logic enable one to provide mathematical safety proofs to more complex driving scenarios than before, especially those which require achievement of certain goals such as an emergency stop.

The outcome of this research was published in IEEE Transactions on Intelligent Vehicles, a top journal on automated driving on July 5, 2022 (US Eastern Time).