3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …

Ensuring traffic safety and mitigating accidents in modern driving is of paramount
importance, and computer vision technologies have the potential to significantly contribute to …

When changing from active driving to conditional automated driving (CAD), the question
arises whether users still prefer their own driving behavior while being a passenger. The aim …

Developing safety and efficiency applications for Connected and Automated Vehicles
(CAVs) requires a great deal of testing and evaluation. The need for the operation of these …

Cooperative perception algorithms based on fusing sensing data across multiple connected
automated vehicles (CAVs) have shown promising performance to enhance the existing …

Traffic oscillations pose safety and efficiency challenges in mixed scenarios involving
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs). Existing …

Cooperative driving is crucial for improving traffic efficiency and safety for connected and
automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of …

Cooperative driving, enabled by communication between automated vehicle systems,
promises significant benefits to fuel efficiency, road capacity, and safety over single-vehicle …

This research is seeking for design the autonomous vehicle's perception system from the
perspective of cyber-physical system. The perception system is considered a cyber and …

In this paper, we propose a cloud control method with communication delay prediction for
intelligent connected vehicles (ICVs), which not only constructs a prediction model using …