The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

Autonomous vehicles are considered to be the next big thing. Several companies are racing
to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for …

This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …

A major promise of automated vehicles is to render it possible for drivers to engage in
nondriving related tasks, a setting where the execution pattern will switch from concurrent to …

This paper provides a taxonomy of different forms of autonomous vehicle handover
situations. It covers scheduled, emergency and non-emergency handovers and it …

Objective Investigating take-over, driving, non-driving related task (NDRT) performance, and
trust of conditionally automated vehicles (AVs) in critical transitions on a test track …

Research in aviation and driving has highlighted the importance of training as an effective
approach to reduce the costs associated with the supervisory role of the human in …

The authors investigated the impact of automated driving phases of different durations (long
versus short) on take‐over performance and driver state. About 30 participants drove on a …

Automated driving eliminates the permanent need for vehicle control and allows to engage
in non-driving related tasks. As literature identifies office work as one potential activity, we …