Integrating autonomous vehicles (AVs) into public roads presents profound implications for
pedestrian safety and the broader acceptance of this emerging technology. This work …

With the rise of autonomous vehicles (AVs) in transportation, a pressing concern is their
seamless integration into daily life. In multi-pedestrian settings, two challenges emerge …

Predicting pedestrian crossing behavior is important for intelligent traffic systems to avoid
pedestrian-vehicle collisions. Most existing pedestrian crossing behavior models are trained …

In the field of autonomous driving research, the use of immersive virtual reality (VR)
techniques is widespread to enable a variety of studies under safe and controlled …

As we move towards a future with Automated Vehicles (AVs) incorporated in the current
traffic system, it is crucial to understand driver-pedestrian interaction, in order to enhance AV …

Recent advancements in predicting pedestrian crossing intentions for Autonomous Vehicles
using Computer Vision and Deep Neural Networks are promising. However, the black-box …

Recent developments in vehicle automation require simulations of human-robot interactions
in the road traffic context, which can be achieved by computational models of human …

The interactions between vehicles and pedestrians are complex due to their
interdependence and coupling. Understanding these interactions is crucial for the …

Predicting pedestrian behavior when interacting with vehicles is one of the most critical
challenges in the field of automated driving. Pedestrian crossing behavior is influenced by …

This study utilized Virtual Reality (VR) experiments to investigate pedestrian-autonomous
vehicle interaction in shared spaces. In the VR experiment, pedestrians attempt to cross the …