Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Pedro F. Proença,Yang Gao,Pedro F. Proença,Yang Gao
On-orbit proximity operations in space rendezvous, docking and debris removal require precise and robust 6D pose estimation under a wide range of lighting conditions and against highly textured background, i.e., the Earth. This paper investigates leveraging deep learning and photorealistic rendering for monocular pose estimation of known uncooperative spacecraft. We first present a simulator built...
