Hardware- and Vision-in-the-Loop Validation of Deep Monocular Pose Estimation for Autonomous Maritime UAV Flight
A new research paper details a hardware-validated framework for testing deep monocular pose estimation in autonomous maritime UAVs. This system allows for fully autonomous indoor flight within emulated photorealistic maritime environments, capturing critical real-world effects like perception latency and computational constraints. Experiments demonstrated stable closed-loop flight, establishing a safe intermediate step for developing maritime UAV autonomy before shipboard deployment. AI
IMPACT Establishes a safer, more realistic intermediate step for developing maritime UAV autonomy.