Formal Verification of Safety Architectures for Automated Driving

08/20/2023
by   Clovis Eberhart, et al.
0

Safety architectures play a crucial role in the safety assurance of automated driving vehicles (ADVs). They can be used as safety envelopes of black-box ADV controllers, and for graceful degradation from one ODD to another. Building on our previous work on the formalization of responsibility-sensitive safety (RSS), we introduce a novel program logic that accommodates assume-guarantee reasoning and fallback-like constructs. This allows us to formally define and prove the safety of existing and novel safety architectures. We apply the logic to a pull over scenario and experimentally evaluate the resulting safety architecture.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/13/2023

Formal Verification of Intersection Safety for Automated Driving

We build on our recent work on formalization of responsibility-sensitive...
research
01/18/2021

Formal Verification of a Fail-Operational Automotive Driving System

A fail-operational system for highly automated driving must complete the...
research
07/06/2022

Goal-Aware RSS for Complex Scenarios via Program Logic

We introduce a goal-aware extension of responsibility-sensitive safety (...
research
04/28/2021

A Functional Safety Assessment Method for Cooperative Automotive Architecture

The scope of automotive functions has grown from a single-vehicle as an ...
research
09/22/2020

Less Manual Work for Safety Engineers: Towards an Automated Safety Reasoning with Safety Patterns

The development of safety-critical systems requires the control of hazar...
research
06/07/2022

Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization

Responsibility-sensitive safety (RSS) is an approach to the safety of au...
research
09/08/2017

Run-Time Risk Mitigation in Automated Vehicles: A Model for Studying Preparatory Steps

We assume that autonomous or highly automated driving (AD) will be accom...

Please sign up or login with your details

Forgot password? Click here to reset