Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image. Such a problem is crucial in many space proximity operations, such as docking, debris removal, and inter-spacecraft communications. Our approach combines machine learning and geometric optimisation, by predicting the …