Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

The selection of an appropriate control strategy is essential for ensuring safe operation in
autonomous driving. While numerous control strategies have been developed for specific …

In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …

Energy consumption and driving safety of a vehicle are greatly influenced by the driving
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …

Accurate recognition of driver distraction is significant for the design of human-machine
cooperation driving systems. Existing studies mainly focus on classifying varied distracted …

Bird's eye view (BEV) perception is becoming increasingly important in the field of
autonomous driving. It uses multi-view camera data to learn a transformer model that directly …

In this article, we present secure cooperative localization for connected automated vehicles
(CAVs) based on consensus estimation through leveraging shared but possibly attacked …

Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …

The deployment of automated vehicles (AVs) has the potential to disrupt and fundamentally
transform urban transportation. As their implementation becomes imminent on cities' streets …

Full drive-by-wire electric vehicles (FDWEV) equipped with X-by-wire technology can enable
independent driving, braking, and steering of each wheel, making them an ideal platform for …