Metaverse and intelligent transportation system (ITS) are disruptive technologies that have
the potential to transform the current transportation system by decreasing traffic accidents …

A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

Large-scale synthetic traffic image datasets have been widely used to make compensate for
the insufficient data in real world. However, the mismatch in domain distribution between …

In recent years, great efforts have been devoted to deep imitation learning for autonomous
driving control, where raw sensory inputs are directly mapped to control actions. However …

Vehicle detection and tracking technology plays an important role in intelligent
transportation management and control systems. This paper proposes a novel vehicle …

Accident anticipation attempts to predict whether an accident may occur in advance, which is
greatly significant for improving the safety of intelligent vehicles. Most existing approaches …

Automatic pavement crack detection is a critical task for maintaining the pavement stability
and driving safety. The task is challenging because the shadows on the pavement may have …

Recently, Vulnerable Traffic Participants (VTPs) trajectory prediction has got some attention,
which can help autonomous vehicles better understand complex traffic environments. This …

Efficient visual detection is a crucial component in self-driving perception and lays the
foundation for later planning and control stages. Deep-networks-based visual systems …

The emerging vehicular connected applications, such as cooperative automated driving and
intersection collision warning, show great potentials to improve the driving safety, where …