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

Explanations have become increasingly vital in communicating with human drivers about
the reasons for the decision-making of autonomous vehicles (AVs), particularly in tactical …

With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …

Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …

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

Deep neural perception and control networks are likely to be a key component of self-driving
vehicles. These models need to be explainable-they should provide easy-to-interpret …

This survey reviews explainability methods for vision-based self-driving systems trained with
behavior cloning. The concept of explainability has several facets and the need for …

In the evolution of technical systems, freedom from error and early adoption plays a major
role for market success and to maintain competitiveness. In the case of automated driving …

A function of an automated driving vehicle that can override a human driver while driving
manually could work as a guardian angel in the car. It can take over control if it detects an …

This study explores, in the context of semi-autonomous driving, how the content of the
verbalized message accompanying the car's autonomous action affects the driver's attitude …