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 …

The use of machine learning (ML) is on the rise in many sectors of software development,
and automotive software development is no different. In particular, Advanced Driver …

Regulatory approval and safety guarantees for autonomous vehicles facing frequent
functional updates and complex software stacks, including artificial intelligence, are a …

Safety guarantees and regulatory approval for autonomous vehicles remain an ongoing
challenge. In particular, software that is frequently adapted or contains complex, non …

Self-driving cars over the last decade have achieved significant progress like driving millions
of miles without any human intervention. However, behavioral safety in applying deep …

Vehicles of higher automation levels require the creation of situation awareness. One
important aspect of this situation awareness is an understanding of the current risk of a …

Conventional safety engineering is not sufficient to deal with Artificial Intelligence (AI) and
Autonomous Systems (AS). Some authors propose dynamic safety approaches to deal with …

Despite the active and proficuous research in autonomous and self-adaptive systems of the
last years, an evaluation framework to assess abilities related to adaption and to provide …

Abstract Machine Learning algorithms are becoming more prevalent in critical systems
where dynamic decision making and efficiency are the goal. As is the case for complex and …

This chapter starts with a perspective on how the efficient system engineering for automation
and autonomous machines will change in the future into the direction of highly automated …