Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

In the driving scene, the road participants usually show frequent interaction and intention
understanding with the surrounding. Ego-agent (each road participant itself) conducts the …

For C-V2X systems, the selection of the best beam in a real-time mode becomes an
increasingly critical and yet open topic. Most of the existing approaches adopt either …

Autonomous Vehicles (AVs) have emerged as a promising solution by replacing human
drivers with advanced computer-aided decision-making systems. However, for AVs to …

Accurate and reliable prediction of vehicle trajectory is one of the core functions for
automated vehicles, and it is a keystone for high-quality local motion planning and decision …

Effective trajectory prediction is of great significance for the design of intelligent driving
systems. To overcome the problems of low algorithm efficiency and insufficient scenario …

Vehicle re-identification (Re-ID) that aims at matching vehicles across multiple
nonoverlapping cameras is prevalently recognized as an important application of computer …

The detection of contaminants in several environments (eg, air, water, sewage systems) is of
paramount importance to protect people and predict possible dangerous circumstances …

Pedestrian trajectory prediction is crucial in driverless applications. To accurately predict the
high-quality trajectory of pedestrians, it is necessary to consider the reasonable social …

Complete traffic sensor data is considered to be one of the critical ingredients for intelligent
transportation systems (ITS). However, the traffic measurements prevalently suffer from the …