Author

F. Köster

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Jan 2026

Defining Operational Conditions for Safety-Critical AI-Based Systems from Data

This paper presents a novel method for defining the ODD a posteriori from previously collected data using a multidimensional kernel-based representation that supports future certification of data-driven, safety-critical AI-based systems.

Johann Maximilian Christensen, Elena Hoemann, F. Köster et al. · arXiv.org · 1 citation

Preprint Aug 2026

On the Applicability of Safety Nets: A Safety-By-Design Solution for Certifying Neural Networks

This work provides the first-ever open-source implementation of Safety Nets for HCAS and VCAS with replicable results, demonstrating a practical pathway toward certifiable AI-based systems in aviation and establishing Safety Nets as a viable Safety-by-Design solution for safety-critical applications.

Johann Maximilian Christensen, Thomas Stefani, Elena Hoemann et al. · 0 citations

Preprint Aug 2026

Coverage-Driven Verification for Safety-by-Design in AI-Based Collision Avoidance Systems

This work presents a method for representativeness assessment of AI/ML constituent ODDs in the context of aviation safety assurance and illustrates how statistical distribution comparison methods can support the assessment of representativeness for safety-critical AI applications.

Thomas Stefani, Johann Maximilian Christensen, Elena Hoemann et al. · 0 citations