An Efficient Pose Measurement Method of a Space Non-Cooperative Target Based on Stereo Vision
Author(s) -
Jianqing Peng,
Wenfu Xu,
Han Yuan
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2759798
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Pose (position and attitude) measurement of a space non-cooperative target is very important for on-orbital servicing tasks, including malfunctioning target repairing, space debris removal, and so on. However, such targets are generally non-cooperative, i.e., no markers are mounted on it and there is no prior knowledge. Therefore, the identification and measurement of a non-cooperative target is very challenging. In this paper, we propose an efficient method to recognize the natural objects with circular or near-circular shapes on the target, reducing the computation load and improving accuracy. First, the geometry properties of a practical non-cooperative target are analyzed. A stereo vision system is correspondingly designed to measure the relative pose of the target. Second, the error sources and time-consuming factors of the traditional method are analyzed. Then, a solution concept is proposed. Third, the efficient method is detailed to solve the geometry equation and determine the pose information, reducing the calculation complexity and increasing the accuracy. The image pre-processing and target detecting algorithms are realized on FPGAs, further accelerating the calculation speed. Finally, we develop an experiment system and verify the proposed method through practical experiments. The experiment system is composed of satellite mockup, binocular camera, and high precision laser tracker. The experiment results show that the proposed method has high accuracy and efficiency.
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