Michail Kontitsis

TL;DR: In this paper, the authors proposed a dual quaternion multiplicative extended Kalman filter for spacecraft pose (i.e., attitude and position) and linear and angular velocity estimation using unit quaternions.

TL;DR: A version of the DQ-MEKF is presented that takes only discrete-time pose measurements with noise and, hence, is suitable for uncooperative satellite proximity operation scenarios where the chaser satellite has only access to measurements of the relative pose, but requires the relative velocities for control.

TL;DR: This work aims to solve the problem of relative navigation for space rendezvous and proximity operations using a monocular camera in a numerically efficient manner using an adaptive visual algorithm, and demonstrates a significant improvement in speed and robustness for scenarios with large range changes.

TL;DR: The proposed method provides a framework for near-optimal solutions by jointly considering control, planning and estimation and is compared against an open-loop strategy and a “greedy” feedback strategy.