Several decades of eye related research has shown how valuable eye gaze data are for
applications that are essential to human daily life. Eye gaze data in a broad sense has been …

The aim of this study is to identify the best practices and future research directions for driver
lane-change intention (DLCI) prediction using eye-tracking technologies based on a …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Simulators are an essential tool for behavioural and interaction research on driving, due to
the safety, cost, and experimental control issues of on-road driving experiments. The most …

Automated vehicles (AVs) can perform low-level control tasks but are not always capable of
proper decision-making. This paper presents a concept of eye-based maneuver control for …

Eye movements show primary responses that reflect humans' voluntary intention and
conscious selection. Because visual perception is one of the fundamental sensory …

The connected environment provides information on surrounding traffic and areas beyond
the visual range traffic to improve driving behavior and avoid dangerous incidents. However …

Driver gaze plays a key role in different gaze-based applications, such as driver
attentiveness detection, visual distraction detection, gaze behavior understanding, and …

Gaze is an excellent indicator and has utility in that it can express interest or intention and
the condition of an object. Recent deep-learning methods are mainly appearance-based …

Intent sharing is a class of cooperation enabled by vehicle-to-everything (V2X)
communication, which allows for information exchange between road users about their …