In the development of autonomous vehicles, the main focus of sensor research has been in
relation to environmental perception, and only minimal work has focused on the human …

Interpretation of common-yet-challenging inter-action scenarios can benefit well-founded
decisions for autonomous vehicles. Previous research achieved this using their prior …

Advanced driver assistance systems are required to detect latent hazards posed by
surrounding vehicles and generate an appropriate response to enhance safety. Lane …

Cooperative interacting vehicles are a promising approach in the context of automated
driving. To ensure understanding and acceptance of such systems, the underlying …

In recent years, systems have been developed to realize automatic driving based on
objective information such as the relative distance and relative speed between vehicles …

Driver uncertainty in lane change maneuvers can induce long reaction times and lead to
dangerous crashes. However, drivers' uncertainty about their lane change decisions has not …

Augmented Reality (AR) has the potential to help drivers become aware of invisible hazards
through an Augmented Reality Head-Up Display (AR-HUD). However, this issue is still …

In the future, car-to-car communication and car-to-infrastructure communication will be a
central part of automated driving experience. Cooperative interactive driving is seen as a …

Inspired by the “emancipation” theory of trust, this paper proposes to develop driver's trust in
assistance systems based on the assumption that driver's appropriate trust in these systems …

The inherent complexity associated with lane-changing manoeuvres can significantly disrupt
traffic flow and increase the risk of collisions. While the lane-changing vehicle influences the …