Human emotions are integral to daily tasks, and driving is now a typical daily task. Creating
a multi-modal human emotion dataset in driving tasks is an essential step in human emotion …

Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …

Driving safety is a top priority for autonomous vehicles. Orthogonal to prior work handling
accident-prone traffic events by algorithm designs at the policy level, we investigate a …

Autonomous vehicles (AVs) have the potential to lower the number of vehicular crashes, as
research has shown that most collisions are caused by driver error. Consequently, several …

Automated driving offers excellent opportunities for ecology, economy as well as society.
Especially in urban intersections, there is a considerable margin for benefits in these …

Autonomous vehicles currently suffer from a time-inefficient driving style caused by
uncertainty about human behavior in traffic interactions. Accurate and reliable prediction …

The development of automated vehicles has the potential to revolutionize transportation, but
they are currently unable to ensure a safe and time-efficient driving style. Reliable models …

A better understanding of automation disengagements can lead to improved safety and
efficiency of automated systems. This study investigates the factors contributing to …

Simulators have irreplaceable importance for the research and development of autonomous
driving. Besides saving resources, labor, and time, simulation is the only feasible way to …

Intersections are high-risk locations for autonomous vehicles (AVs). Crash causation
analysis based on pre-crash scenarios can provide new insight into these crashes that can …