Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention
in the academies and industries because of its powerful conversational ability with human …

Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …

Applying reinforcement learning (RL) algorithms to control systems design remains a
challenging task due to the potential unsafe exploration and the low sample efficiency. In …

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It
has broad applications in many domains such as internet search, tourism and social media …

Driving anomaly detection aims to identify objects, events or actions that can increase the
risk of accidents, reducing road safety. While supervised approaches can effectively identify …

As intelligent vehicles (IVs) continue to advance in fully connected environments, the
collection of data from various sources in intelligent transportation systems (ITSs) has …

Head pose estimation (HPE) has been extensively investigated over the past decade due to
its wide range of applications across several domains of artificial intelligence (AI), resulting …

A smart vehicle should be able to monitor the actions and behaviors of the human driver to
provide critical warnings or intervene when necessary. Recent advancements in deep …