Summary 5G has taken off at a brisk speed over the years, bringing significant benefits to the
Internet of Things (IoT) devices and wireless sensor nodes. The launching of 5G technology …

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

Detecting driver fatigue is critical for ensuring traffic safety. Electroencephalography (EEG) is
the golden standard for brain activity measurement and is considered a good indicator of …

Driver attention estimation is one of the key technologies for intelligent vehicles. The existing
related methods only focus on the scene image or the driver's gaze or head pose. The …

Human–Machine Interaction (HMI) in Intelligent and Connected Vehicles (ICVs) has drawn
great attention in recent years due to its potentially significant positive impacts on the …

In recent years, the rise of car accident fatalities has grown significantly around the world.
Hence, road security has become a global concern and a challenging problem that needs to …

Abstract Advanced Driver Assistance System (ADAS) is a Cyber-Physical System (CPS)
application mainly developed for human–machine interaction. We employ the CPS …

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 …

Driving safety has been a concern since the first cars appeared on the streets. Driver
inattention has been singled out as a major cause of accidents early on. This is hardly …

Distracted driver classification (DDC) plays an important role in ensuring driving safety.
Although many datasets are introduced to support the study of DDC, most of them are small …