Conventional measurement of relative poses between two non-cooperative spacecrafts in close range is derived from the iteration of monocular vision or three-dimensional reconstruction of binocular vision, which introduces errors in the process of feature matching, and the timeliness and accuracy are poor. Regarding the issues above, this article tries to do some researches on measurement of relative poses between two non-cooperative spacecrafts in close range based on concentric circles. Here, 'concentric circles' means the spatial parallel but not coplanar positional relationship between docking ring and engine nozzle. Through the binocular vision measurement model, the angle adaptability and the applicability are improved. Then, the algorithm of this model is simulated, and the simulated results show that the accuracy of the algorithm can reach higher than 0.5°.
Research on pose measurement between two non-cooperative spacecrafts in close range based on concentric circles
First published at:Aug 01, 2018
1 Sun Z Y, Gao Y. Relative position and attitude measurement for non-cooperative spacecraft based on binocular vision[J]. Journal of Astronautic Metrology and Measurement, 2017, 37(4): 1-6. DOI:10.12060/j.issn.1000-7202.2017.04.01
孙增玉, 高越.基于视觉技术的非合作航天器相对位姿测量方法[J].宇航计测技术, 2017, 37(4): 1-6. DOI:10.12060/j.issn.1000-7202.2017.04.01
2 Li Y P, Zhao C H, Wang L. Relative position and attitude estimation of non-cooperative spacecraft based on geometric features[J]. Aerospace Control and Application, 2015, 41(3): 8-13.
3 Wingo D R. Orbital recovery's responsive commercial space tug for life extension missions[C]//Space 2004 Conference and Exhibit, 2004: 1-8.
4 Li Y F, Wang S C, Yang D F, et al. Aerial relative measurement based on monocular reconstruction for non-cooperation target[J]. Chinese Space Science and Technology, 2016, 36(5): 48-56.
5 Gui L, Zheng S Y, Cao S Q, et al. Research of pose and altitude measurement for non-cooperative spacecraft based on 3d point clouds[J]. Aerospace Shanghai, 2016, 33(6): 122-128.
6 Zhang L, Xu K J, Zhao R, et al. Improvement of position and orientation measurement algorithm of monocular vision based on circle features[J]. Journal of Hefei University of Technology (Natural Science), 2009, 32(11): 1669-1673. DOI:10.3969/j.issn.1003-5060.2009.11.010
张磊, 徐科军, 赵锐, 等.一种基于圆特征的单目视觉位姿测量算法的改进[J].合肥工业大学学报(自然科学版), 2009, 32(11): 1669-1673. DOI:10.3969/j.issn.1003-5060.2009.11.010
7 Wei Z Z, Zhao Z, Zhang G J. Solution of duality in pose estimation of single circle using Euclidean angular constraint[J]. Optics and Precision Engineering, 2010, 18(3): 685-691.
8 Xu W F, Liang B, Li C, et al. Measurement and planning approach of space robot for capturing non-cooperative target[J]. Robot, 2010, 32(1): 61-69.
9 Xu W F, Xue Q, Liu H D, et al. A pose measurement method of a non-cooperative GEO spacecraft based on stereo vision[C]//Proceedings of International Conference on Control Automation Robotics & Vision, 2012: 966-971.
10 Sabatini M, Palmerini G B, Gasbarri P. A testbed for visual based navigation and control during space rendezvous operations[J]. Acta Astronautica, 2015, 117: 184-196. DOI:10.1016/j.actaastro.2015.07.026
11 Zhang B T, Zhong C L, Wu Q X. A target localization method with monocular hand-eye vision[J]. Opto-Electronic Engineering, 2018, 45(5): 170696. DOI:10.12086/oee.2018.170696
张波涛, 仲朝亮, 吴秋轩.一种采用单目手眼视觉的目标位置测量方法[J].光电工程, 2018, 45(5): 170696. DOI:10.12086/oee.2018.170696
12 Chen Z, Huang J B. A vision-based method for the circle pose determination with a direct geometric interpretation[J]. IEEE Transactions on Robotics and Automation, 1999, 15(6): 1135-1140. DOI:10.1109/70.817678
National Natural Science Foundation of China (61675022)
Get Citation: Wang Ke, Chen Xiaomei, Han Xu. Research on pose measurement between two non-cooperative spacecrafts in close range based on concentric circles[J]. Opto-Electronic Engineering, 2018, 45(8): 180126.