TL;DR
AD-EYE is a co-simulation platform designed for early verification of automotive functional safety concepts in automated driving, enabling better safety design decisions through reusable scenarios and simulation-based testing.
Contribution
The paper introduces AD-EYE, a novel co-simulation platform that facilitates early verification and refinement of safety concepts in automated driving using reusable scenario databases.
Findings
Demonstrated advantages of simulation in early safety verification
Identified limitations of current simulation approaches
Showcased examples of safety requirement refinement
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
