AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …

Unique developmental and operational characteristics of machine learning (ML)
components as well as their inherent uncertainty demand robust engineering principles are …

Machine Learning (ML) is increasingly applied for the control of safety-critical Cyber-
Physical Systems (CPS) in application areas that cannot easily be mastered with traditional …

Although AI is transforming the world, there are serious concerns about its ability to behave
and make decisions responsibly. Many ethical regulations, principles, and frameworks for …

Artificial intelligence (AI) in its various forms finds more and more its way into complex
distributed systems. For instance, it is used locally, as part of a sensor system, on the edge …

The goal of this paper is to design a functional software architecture for fully autonomous
vehicles. Existing literature takes a descriptive approach and presents past experiments with …

Context: Machine learning is increasingly used in a wide set of applications ranging from
recommendation engines to autonomous systems through business intelligence and smart …

The accurate estimation of airspace capacity in unmanned traffic management (UTM)
operations is critical for a safe, efficient, and equitable allocation of airspace system …

Despite the many advancements in traffic safety, vehicle overtaking still poses significant
challenges to both human drivers and autonomous vehicles, especially, how to evaluate the …

This research is in threat analysis and countermeasures employing Artificial Intelligence (AI)
methods within the civilian domain, where safety and mission-critical aspects are essential …