This paper surveys the state-of-the-art contributions supporting the validation of virtual
testing toolchains for Automated Driving System (ADS) verification. The work builds upon the …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Scenario-based proving ground testing has been established as the standard test
environment for the homologation of driver assistance systems. These test procedures are …

As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial
vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to …

Software metrics such as coverage or mutation scores have been investigated for the
automated quality assessment of test suites. While traditional tools rely on software metrics …

With the increasing safety validation requirements for the release of a self-driving car,
alternative approaches, such as simulation-based testing, are emerging in addition to …

In the field of autonomous driving research, the use of immersive virtual reality (VR)
techniques is widespread to enable a variety of studies under safe and controlled …

The detection of drones or unmanned aerial vehicles is a crucial component in protecting
safety-critical infrastructures and maintaining privacy for individuals and organizations. The …

Before an automated vehicle can be commercialised, it requires extensive tests, to prove its
safety in the real world. One way to perform safer tests is in simulated environment, due to its …

Recent advancements in deep learning techniques have accelerated the growth of robotic
vision systems. One way this technology can be applied is to use a mobile robot to …