  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 qualification of the use of legacy functions in new
contexts. The scope of the variety of scenarios that a vehicle may encounter
even within a constrained Operational Design Domain, and the highly dynamic
nature of Automated Driving, mean that new methods such as simulation can
greatly aid the process of safety engineering. 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 co-simulation platform named AD-EYE designed for exploiting the
possibilities in an industrial context by evaluating design decisions and
refining Functional Safety Requirements based on a reusable scenario database.
Leveraging our prior experiences in developing FSCs for Automated Driving
functions, and the preliminary implementation of co-simulation platform, we
demonstrate the advantages and identify the limitations of using simulations
for refinement and early FSC verification using examples of types of
requirements that could benefit from our methodology.
