This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …

Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

Motion prediction is the fundamental input for decision-making in autonomous vehicles. The
current motion prediction solutions are designed with a strong reliance on black box …

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic
safety and efficiency, contributing significantly to modern transportation. The integration of …

Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …

To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …

In the highly complex dynamic environment, the path optimization of the algorithm becomes
the key to improve the efficiency of indoor mobile robots. Whale optimization algorithm …

Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory
prediction contains many sources of uncertainty in data and modelling. A thorough …

The rapid expansion of Internet users results in an immense influx of network traffic within
extensive cloud data centers. Accurate and instantaneous identification and forecasting of …

Vehicle trajectory prediction plays a crucial role in ensuring the driving safety of autonomous
vehicles in complex traffic scenes. To accurately predict the trajectory of autonomous …