The widespread adoption of commercial autonomous vehicles (AVs) and advanced driver
assistance systems (ADAS) may largely depend on their acceptance by society, for which …

Abstract Augmented Reality Head-Up Display (AR-HUD) is a promising solution to the
current warning system distraction problem. However, how to effectively convey warnings …

The ability to identify important objects in a complex and dynamic driving environment is
essential for autonomous driving agents to make safe and efficient driving decisions. It also …

This paper addresses the problem of on-road object importance estimation, which utilizes
video sequences captured from the driver's perspective as the input. Although this problem …

Evaluating drivers' situation awareness (SA) is important in the implementation of alert
prioritization. This study investigates the relationship between driving performance …

Abstract Technically, Augmented Reality Head-Up Display (AR-HUD) technology can
augment multiple targets in the scene. However, existing literature predominantly focuses on …

Advanced driver assistance systems (ADAS) need to account for the driver's awareness of
the environment to be effectively used. This study examines the impact of environmental …

Cyber-physical-human systems (CPHS) in AI-based driver assistance applications require
the integration of data from diverse modalities. These in-cabin CPHSs offer rich sensing …

The driver warning system that alerts the human driver about potential risks during driving is
a key feature of an advanced driver assistance system. Existing driver warning technologies …

Commonly used protocols for capturing the ground-truth situational awareness (SA) of
drivers involve halting a simulation and querying the driver. SA data collected in this way is …