most citedSafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities

16 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023★ 11 cited

Risk Management Core -- Towards an Explicit Representation of Risk in Automated Driving

Nayel Fabian Salem, Thomas Kirschbaum, Marcus Nolte +4

While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk acceptance criteria for Auto…

eess.SY2022★ 4 cited

Phenomenon-Signal Model: Formalisation, Graph and Application

Hans Nikolaus Beck, Nayel Fabian Salem, Veronica Haber +2

Considering information as the basis of action, it may be of interest to examine the flow and acquisition of information between the actors in traffic. The central question is: Whi…

cs.RO2022★ 16 cited

SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities

Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker +9

The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given…

cs.SE2022★ 1 cited

Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception

Janek Groß, Rasmus Adler, Michael Kläs +3

Data-driven models (DDM) based on machine learning and other AI techniques play an important role in the perception of increasingly autonomous systems. Due to the merely implicit d…

cs.AI2022

Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components

Michael Kläs, Lisa Jöckel, Rasmus Adler +1

In the future, AI will increasingly find its way into systems that can potentially cause physical harm to humans. For such safety-critical systems, it must be demonstrated that the…