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

Driver anomaly quantification is a fundamental capability to support human-centric driving
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …

Driver behavior recognition is crucial for traffic safety in intelligent transportation systems. To
understand the driver distraction behavior, deep learning methods has been used to learn …

Automatic recognition and prediction of in-vehicle human activities has a significant impact
on the next generation of driver assistance and intelligent autonomous vehicles. In this …

This study explores the modernization of road-based technologies for the enhancement of
mobility while also implementing safer transportation. Mobility plays a critical role in …

Driver behavior is an essential factor affecting traffic safety, and driver behavior monitoring
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …

With the rise of both embedded technologies and the Internet of Things (IoT) integration, it is
increasingly possible to realize complex systems in which, for example, vehicles are …

Detecting the factors affecting drivers' safe driving and taking early warning measures can
effectively reduce the probability of automobile safety accidents and improve vehicle driving …

Detecting the speaking modes of human is an important cue in many applications, including
detecting active/inactive participants in video conferencing, monitoring students' attention in …

Folk paper‐cut art is one of the bright pearls, with a wide range of shapes and a long history,
that serves as a model for modern visual communication design in China and encourages …