Relative position and pose measurement approach of specific operation site of space non-cooperative target

Feng Chen; Ying Zhou; Ronghua Li; Jianming Huang

doi:10.1117/12.2204753

14 December 2015 Relative position and pose measurement approach of specific operation site of space non-cooperative target

Feng Chen, Ying Zhou, Ronghua Li, Jianming Huang

Author Affiliations +

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 98130C (2015) https://doi.org/10.1117/12.2204753
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In order to achieve the rendezvous and capture of the space non-cooperative target, the relative position and pose measurement of non-cooperative target must be resolved. Since the marker is not installed into the non-cooperative target and there is no inter satellite link to transfer the information, so it is very difficult to measure the relative position and pose measurement of non-cooperative target. The solar array connecting frame of non-cooperative targets have their characters and are easy to capture, so the position and pose measurement of specific operation site of non-cooperative target based on stereo vision has been studied in this paper. The method composed of image acquiring, image filtering, edge detection, feature extraction and relative pose measurement. Finally, the relative position and attitude parameters of the solar wing connection were obtained and provided to the control system. The results of simulation and ground verification show that the algorithm is accurate and effective, and can satisfy the technical requirements of the on orbit operation. The measurement approach can be used for engineering implementation.

Citation Download Citation

Feng Chen, Ying Zhou, Ronghua Li, and Jianming Huang "Relative position and pose measurement approach of specific operation site of space non-cooperative target", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130C (14 December 2015); https://doi.org/10.1117/12.2204753

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