Name
Title | ||
|---|---|---|
A Context-Aware, Confidence-Disclosing and Fail-Operational Dynamic Risk Assessment Architecture |
Abstract | ||
|---|---|---|
Future automotive systems will be highly automated and they will cooperate to optimize important system qualities and performance. Established safety assurance approaches and standards have been designed with manually controlled stand-alone systems in mind and are thus not fit to ensure safety of this next generation of systems. We argue that, given frequent dynamic changes and unknown contexts, systems need to be enabled to dynamically assess and manage their risks. In doing so, systems become resilient from a safety perspective, i.e. they are able to maintain a state of acceptable risk even when facing changes. This work presents a Dynamic Risk Assessment architecture that implements the concepts of context-awareness, confidence-disclosure and fail-operational. In particular, we demonstrate the utilization of these concepts for the calculation of automotive collision risk metrics, which are at the heart of our architecture. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/EDCC.2018.00041 | 2018 14th European Dependable Computing Conference (EDCC) |
Keywords | Field | DocType |
Safety,Resilience,Dynamic Risk Assessment,Dynamic Risk Management | Psychological resilience,Architecture,Computer science,Risk assessment,Risk analysis (engineering),Automotive systems,Risk management,Vehicle dynamics,Safety assurance,Automotive industry,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-8061-2 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrik Feth | 1 | 6 | 2.19 |
| Rasmus Adler | 2 | 81 | 9.26 |
| Daniel Schneider | 3 | 44 | 7.21 |