Conditionally automated vehicles can be operated on most regular roads without driver's
supervision. They show excellent potential for market adoption and are now being targeted …

Professional drivers play a crucial role in many businesses and the lives of people. They are
responsible for transferring people and goods between distant points, enabling safe and …

Background The augmented reality head-up display (AR-HUD) recently emerged as a state-
of-the-art in-vehicle display. However, no comprehensive guidelines apply to the human …

Drivers pay unequal attention to different road environmental elements and visual fields,
which greatly influences their driving behavior. However, existing collision warning systems …

The major challenge of this paper is to examine how various forms of speed perception
affect motor vehicle crash (MVC) involvement. To model this relationship, we use a type-2 …

Vehicle collision avoidance system (CAS) is a control system that can guide the vehicle into
a collision-free safe region in the presence of other objects on road. Common CAS …

To model individuals' experience of urban spaces, this study integrates knowledge from
environmental psychology and artificial intelligence to propose a framework for individuals' …

Numerous types of objects in traffic scenes are visually perceived and recognized to
determine safe driving maneuvers. Visual attention is the most important brain function for …

The task of driver attention prediction has drawn considerable interest among researchers in
robotics and the autonomous vehicle industry. Driver attention prediction can play an …

To understand the relation between the geometric design of optically long tunnels and
visibility of the exit area, in this study oculomotor (eye movement) data are collected from …