This study explores the effects of autonomous cars and how they may affect the design of
transportation systems. The research investigated the determinants of consumer adoption of …

Automated Vehicles aim to increase road safety as automated driving systems (ADS) take
over the human driving task in the operational design domain (ODD), introducing severe …

Safety and performance are key enablers for autonomous driving: on the one hand we want
our autonomous vehicles (AVs) to be safe, while at the same time their performance (eg …

Advances in deep learning have revolutionized cyber‐physical applications, including the
development of autonomous vehicles. However, real‐world collisions involving autonomous …

In this work, we address the potential of probabilistic modelling approaches for ensuring
trustworthy AI in sensing subsystems within drone-supported autonomous wheelchairs. The …

Objective Road testing can accelerate the development and validation of autonomous
vehicles (AVs). AV road testing can come with high safety risks, particularly in a complex …

The safety-critical nature of autonomous vehicle (AV) operation necessitates development of
task-relevant algorithms that can reason about safety at the system level and not just at the …

Deploying autonomous agents in the real-world can lead to risks both to the agents and to
the humans with whom they interact. As a result, it is essential for agents to try to achieve …

Reliable perception is a key prerequisite for safe operation of robots and autonomous
vehicles. The future of the field relies on public trust and provable correctness of behavior in …

Balancing safety and efficiency when navigating in dense traffic remains an open challenge
in autonomous driving. Safety envelopes restrict the allowed planning region and yield …