In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …

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 …

Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the
automotive domain, yet current ADASs notably operate without taking into account drivers' …

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 …

Deep learning methods are widely regarded as indispensable when it comes to designing
perception pipelines for autonomous agents such as robots, drones or automated vehicles …

Recently, there has been a significant increase in the number of Artificial Intelligence (AI)
systems, software, and components. As a result, it is crucial to evaluate their quality. Quality …

Perception of obstacles remains a critical safety concern for autonomous vehicles. Real-
world collisions have shown that the autonomy faults leading to fatal collisions originate from …

The ability of Machine Learning (ML) algorithms to learn and work with incomplete
knowledge has motivated many system manufacturers to include such algorithms in their …

Manufacturers are willing to incorporate Machine Learning (ML) algorithms into their
systems, especially those considered as Safety-Critical Systems (SCS). ML algorithms that …

A cyber‐physical system‐of‐systems (CPSoS) can be defined as a system‐of‐systems
(SoS), composed of several operable and autonomous constituent systems (CSs) that are …