UAV platform for special operation

Abstract

Unmanned Aerial Vehicles (UAVs) are widely used in industrial inspection, agriculture, and security. This paper introduces a universal UAV platform designed for modular adaptability, extended flight endurance, and autonomous navigation. The hardware architecture includes a lightweight carbon fiber frame, high-efficiency propulsion, and a flexible power system, ensuring reliable performance across various missions. The software framework, built on ROS 2 middleware, enables seamless integration of SLAM-based navigation, visual odometry, and deep learning-based object detection. The UAV combines GNSS, INS, and LiDAR-based SLAM for precise localization, even in GNSS-denied environments. Equipped with multi-sensor payloads such as LiDAR, RGB-D cameras, and thermal imaging, this platform supports applications ranging from precision agriculture to infrastructure inspection, paving the way for advanced autonomous UAV operations.