Self-driving cars rely on software which needs to be thoroughly tested. Testing self-driving
car software in real traffic is not only expensive but also dangerous, and has already caused …

Autonomous driving has become an important research area for road traffic, whereas testing
of autonomous driving systems to ensure a safe and reliable operation remains an open …

Autonomous systems are gaining momentum in various application domains, such as
autonomous vehicles, autonomous transport robotics and self-adaptation in smart homes …

Autonomous driving systems (ADSs) integrate sensing, perception, drive control, and
several other critical tasks in autonomous vehicles, motivating research into techniques for …

Context: Systems exhibiting anticipatory behavior are controlling devices that are influencing
decisions critical to business with increasing frequency, but testing such systems has …

Machine Learning (ML) seems to be one of the most promising solution to automate partially
or completely some of the complex tasks currently realized by humans, such as driving …

This contribution proposes a semantic description of vehicle behavior in urban environments
in the form of maneuvers. By detecting these maneuvers in recorded measurement data of …

Security is paramount in all mission-critical domains, including the aerospace industry.
Cyber-attacks are increasing both in number and sophistication. Zero-trust is an emerging …

Testing of autonomous systems is extremely important as many of them are both safety-
critical and security-critical. The architecture and mechanism of such systems are …

Machine Learning (ML) seems to be one of the most promising solution to automate partially
or completely some of the complex tasks currently realized by humans, such as driving …