Abstract:
This paper presents a novel UAV-based system for real-time 3D-object localization that integrates a monocular camera, a gimbaled laser rangefinder, and an onboard computer vision. Unlike prior methods that rely on assumptions such as known object size, flat terrain, or simulation-only validation, our approach enables accurate localization of targets without requiring prior knowledge of the environment. The system performs real-time tracking and localization entirely onboard the drone through active sensor fusion and gimbal control. We implemented the method in a universal software framework and validated it through field experiments, demonstrating its accuracy and robustness in real-world conditions.