Adaptive Relative Pose Estimation Framework with Dual Noise Tuning for Safe Approaching Maneuvers

1. 1Detect structural markers (corners) from images using a Convolutional Neural Network (CNN) with image preprocessing
2. 2Apply adaptive nonlinear filtering to estimate the relative pose
3. 3Implement dual noise tuning to improve the robustness of the estimation framework
4. 4Integrate the framework with Active Debris Removal (ADR) mission systems to enable safe approaching maneuvers

Computer vision engineers and robotics researchers on a team benefit from this framework as it enables accurate and robust relative pose estimation, while spacecraft engineers and mission planners also benefit from the safe approaching maneuvers it facilitates

💡 Dual noise tuning improves the robustness of relative pose estimation in computer vision-based spacecraft navigation

💡 Adaptive relative pose estimation for safe spacecraft maneuvers