Holistic Perspectives on Safety of Automated Driving Systems - Methods
for Provision of Evidence
Abstract
In recent years, the enormous investments in Automated Driving Systems
(ADSs) have distinctly advanced ADS technologies. Despite promises made
by several high profile auto-makers, it has however become clear that
the challenges involved for deploying ADS have been drastically
underestimated. This paper focuses on the challenge of providing
sufficient evidence to support the safety claims of ADSs. The
provisioning of such evidence clearly relates both to technical maturity
of ADS systems (including actual experiences from deploying such
systems), and on the development of methodologies for reasoning about
ADS safety claims. Contrary to previous generations of automotive
systems, common design, development, verification and validation methods
for safety critical systems do not suffice to cope with the increased
complexity and operational uncertainties of an ADS. Therefore, the aim
of this paper is to provide an understanding of existing methods
focusing on the development of a safe ADS and, most importantly,
identifying the associated challenges and gaps.
We present eight challenges, collectively distinguishing ADSs from
safety critical systems in general, and discuss the existing methods in
the light of these eight challenges. Based on this discussion, a set of
research gaps are identified.