From the 1 of 4 linked papers with an AI index.
1 citations · 1 across the 3 of their papers we have counts for
4 papers
Coverage-Driven Verification for Safety-by-Design in AI-Based Collision Avoidance Systems
Thomas Stefani, Johann Maximilian Christensen, Elena Hoemann +2
Artificial Intelligence (AI) offers significant potential for future aviation systems; however, its integration into safety-critical applications requires compliance with the aviat…
Image Quality Dependent Degradation for AI Systems
Yannick Kees, Elena Hoemann, Frank Köster +1
The paper proposes a method to estimate image quality using normalizing flows and adjust object detection confidence thresholds, enabling safer AI-driven perception in low-quality…
Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
Johann Maximilian Christensen, Elena Hoemann, Frank Köster +1
Artificial Intelligence (AI) has been on the rise in many domains, including numerous safety-critical applications. However, for complex systems in the real world, defining the und…
From High-Dimensional Spaces to Verifiable ODD Coverage for Safety-Critical AI-based Systems
Thomas Stefani, Johann Maximilian Christensen, Elena Hoemann +3
While Artificial Intelligence (AI) offers transformative potential for operational performance, its deployment in safety-critical domains such as aviation requires strict adherence…