A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects. (arXiv:2305.07348v1 [cs.CV])

Estimating the pose of an uncooperative spacecraft is an important computer
vision problem for enabling the deployment of automatic vision-based systems in
orbit, with applications ranging from on-orbit servicing to space debris
removal. Following the general trend in computer vision, more and more works
have been focusing on leveraging Deep Learning (DL) methods to address this
problem. However and despite promising research-stage results, major challenges
preventing the use of such methods in real-life missions still stand in the
way. In …

applications arxiv computer computer vision debris deep learning deployment enabling general in orbit prospects space spacecraft space debris state survey systems trend vision