Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …

The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

We need to trust robots that use often opaque AI methods. They need to explain themselves
to us, and we need to trust their explanation. In this regard, explainability plays a critical role …

Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

We propose an integrated prediction and planning system for autonomous driving which
uses rational inverse planning to recognise the goals of other vehicles. Goal recognition …

Autonomous vehicles (AVs) represent a transformative advancement in transportation
technology, promising to enhance travel efficiency, reduce traffic accidents, and …

The safe deployment of autonomous vehicles (AV s) in real world scenarios requires that AV
s are accountable. One way of ensuring accountability is through the provision of …

This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …

Autonomous vehicles operating in dynamic environments are required to account for other
traffic participants. By interpreting sensor information and assessing the collision risk with …