The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

The rise of mobile devices with abundant sensory data and local computing capabilities has
driven the trend of federated learning (FL) on these devices. And personalized FL (PFL) …

Controller Area Network (CAN) protocol is widely used in vehicles as an efficient standard
enabling communication among Electronic Control Units (ECUs). However, the CAN bus is …

The unpredictability of the wireless channel has been used as a natural source of
randomness to build physical-layer security primitives for shared key generation …

Infrastructure-assisted autonomous driving has become a new paradigm that enables
autonomous vehicles to fuse sensor data and improve driving safety, where a key enabling …

LiDAR (Light Detection and Ranging) has been widely used in autonomous driving to
perceive the surrounding environment of self-driving cars. Advanced LiDAR perception …

Autonomous vehicles and human drivers are prone to line-of-sight limitations. Road-side
mounted 3D sensors like LiDARs can augment a vehicle's on-board perception. However …

For precise, efficient, and safe drone landings, ground platforms should real-time, accurately
locate descending drones and guide them to designated spots. While mmWave sensing …

We address the problem of cyber-physical access control for connected autonomous
vehicles. The goal is to bind a vehicle's digital identity to its physical identity represented by …

Recently, smart roadside infrastructure (SRI) has demonstrated the potential of achieving
fully autonomous driving systems. To explore the potential of infrastructure-assisted …