Unmanned Vehicle

Unmanned vehicles (UVs), encompassing both ground and aerial systems, are a rapidly evolving field focused on achieving autonomous navigation and operation. Current research emphasizes robust perception using multi-sensor fusion (e.g., cameras, LiDAR, fisheye) and advanced control algorithms like Deep Reinforcement Learning (DRL) and Control Barrier Functions (CBFs) to ensure safe and efficient path planning, even in complex or dynamic environments. This work is crucial for improving the reliability and expanding the applications of UVs across various sectors, from autonomous driving and delivery to environmental monitoring and search and rescue operations.