Overview of visual pose estimation methods for space missions

Abstract：With the development of artificial intelligence，target recognition and pose estimation based on computer vision have received widespread attention.At present，computer-vision-based pose estimation technology for cooperative targets is being widely used in space missions，such as in rendezvous and dock• ing.However，for noncooperative targets，complex environments，such as stray-light backgrounds，sur• face-coating reflections，and dramatic light changes，cause difficulties in feature extraction and pose estima• tion.In this paper，the methods and applications of visual-based pose estimation in space missions are sum • marized.Various target recognition and pose estimation algorithms，based on deep-learning algorithms， are systematically outlined.Moreover，current deep-learning algorithms in the context of space missions are discussed.Finally，the task demand of space tasks is analyzed to present some future development trends.