Safety assurance of automated driving systems must consider uncertain environment
perception. This paper reviews literature addressing how perception testing is realized as …

The widescale deployment of Autonomous Vehicles (AV) seems to be imminent despite
many safety challenges that are yet to be resolved. It is well known that there are no …

Autonomous vehicles (AVs) rely on environment perception and behavior prediction to
reason about agents in their surroundings. These perception systems must be robust to …

This abstract discusses the significant progress made in autonomous vehicles, focusing on
decision‐making systems and control algorithms. It explores recent advances, challenges …

Safety compliance is paramount to the safe deployment of autonomous vehicle (AV)
technologies in real-world transportation systems. As AVs will share road infrastructures with …

In the past decade, automotive companies have invested significantly in autonomous
vehicles (AV), but achieving widespread deployment remains a challenge in part due to the …

Despite the rapid improvement of autonomous driving technology in recent years,
automotive manufacturers must resolve liability issues to commercialize autonomous …

Analyzing the behavior of sensors is becoming one of the key challenges due to their
increasing use for decision making in IoT systems. The paper proposes an approach for a …

Principled accountability for autonomous decision-making in uncertain environments
requires distinguishing intentional outcomes from negligent designs from actual accidents …

A crucial aspect that automotive systems need to face before being used in everyday life is
the validation of their components. To this end, standard exhaustive methods are …