A practical simulation toolchain for the early verification of Functional Safety Concepts. 2019-01-0126
Automated driving is revolutionizing many of the traditional ways of operation in the automotive industry. The impact on safety engineering of automotive functions is arguably one of the most important changes. There has been a need to re-think the impact of the partial or complete absence of the human driver (in terms of a supervisory entity) in not only newly developed functions but also in the requalification of the use of legacy functions in new contexts.
The scope of the variety of the scenarios that a vehicle may encounter even within a constrained Operational Design Domain (ODD), and the highly dynamic nature of automated driving mean that new methods such as simulation can greatly aid the process of safety engineering and architecting. This paper discusses the need for early verification of the Functional Safety Concepts (FSCs), details the information typically available at this stage in the product lifecycle, and proposes a toolchain designed for exploiting the possibilities in an industrial context. Further articulated are the rationale behind the design choices made in the implementation of the toolchain, a combination of commercially available solutions for world modelling and open source solutions based on the Robotics Operating System (ROS).
Leveraging our prior experiences in developing FSCs for automated driving functions, and the specific preliminary implementation of toolchain, we demonstrate the advantages and identify the limitations of using simulations for refinement and early verification of FSCs using examples of types of requirements that could benefit from our methodology.