Assuring the safety of autonomous vehicles is one of the most significant challenges in the
automotive industry. Tech companies and automotive manufacturers use the idea of …

The safety validation of automated driving for SAE level 3 and higher is still an unsolved
issue. While it is generally assumed that an automated driving system should be at least as …

One of the major challenges of automated driving systems (ADS) is showing that they drive
safely. Key to ensuring safety is eliciting a complete set of top-level safety requirements …

The development of safety validation methods is essential for the safe deployment and
operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to …

The determination of safety assurances for automated driving vehicles is one of the most
critical challenges in the industry today. Several behavioral safety models for automated …

The complexity of automated driving poses challenges for providing safety assurance.
Focusing on the architecting of an Autonomous Driving Intelligence (ADI), ie the …

Recent advances in the field of deep learning and impressive performance of deep neural
networks (DNNs) for perception have resulted in an increased demand for their use in …

One of the biggest challenges for self-driving road vehicles is how to argue that their safety
cases are complete. The operational design domain (ODD) of the automated driving system …

To provide overall safety to the automotive domain both vehicle safety and security need to
be considered. Cybersecurity is a key to define the quality of the autonomous vehicle by …

Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …