Pose Estimation of Cooperative Targets for Space Exploration Task Based on Binocular Visual Measurement

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In this paper, a high accuracy and efficiency pose estimation algorithm is proposed for space cooperative targets in RVD based on binocular visual measurement. At first, the scheme of visual measurement toward RVD is presented and the environment conditions and performance requirement are analysed and discussed. Then the relationship of pose estimation with detection and tracking is studied to give an implementing strategy of pose estimation with high accuracy and efficiency. Moreover, the key point is focused on the pose estimation of cooperative targets, in which a stereo vision mapping relation between three dimensionl coordinates of spacial feature points of cooperative targets and their corresponding image coordinates is established, then the least square method is employed to estimate the three-dimensional coordinates of feature points so as to calculate the relative position and attitude between tracking spacecraft and target spacecraft with high precision, finally a series of experimental resluts indicate that the proposed pose estimation algorithm under binocular visual measurement demonstrates well performance in the estimation accuracy, anti-noise and real-time thus can achieve the application requriements of RVD under binocular visual measurement.

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268-274

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zimpfer D, Kachmar P, Tuohy S. Autonomous rendezvous, capture and in-space assembly: past, present and future[C], 1 st Space Exploration Conference: Continuing the Voyage of Discovery. 2005, pp.1-12.

DOI: 10.2514/6.2005-2523

Google Scholar

[2] Xu W, Liang B, Li C, et al. Autonomous rendezvous and robotic capturing of non-cooperative target in space. Vol. 28(2010), p.705–718.

DOI: 10.1017/s0263574709990397

Google Scholar

[3] N. Silva, M. Ganet, E. Gogibus, P. Delpy and P. Augros. Autonomous rendezvous: Guidance and Control in elliptical orbit. AIAA Guidance, Navigation and Control Conference , paper 6355(2007).

DOI: 10.2514/6.2007-6355

Google Scholar

[4] Thienel J K, VanEepoel J M, Sanner R M. Accurate state estimation and tracking of a non-cooperative target vehicle. Proceedings of AIAA Guidance, Navigation, and Control Conference. 2006, pp.5511-5522.

DOI: 10.2514/6.2006-6802

Google Scholar

[5] T. Tzschichholz et al. Model-based spacecraft pose estimation and motion prediction using a photonic mixer device camera. Acta Astronautica, Vol. 68(2011).

DOI: 10.1016/j.actaastro.2010.10.003

Google Scholar

[6] Farhad Aghili, Marcin Kuryllo, Galina Okouneva, and Chad English , Robust Vision-Based Pose Estimation of Moving Objects for Automated Rendezvous & Docking. IEEE International Conference on Mechatronics and Automation, (2010).

DOI: 10.1109/icma.2010.5589051

Google Scholar

[7] Wang D, Ren H, Wu Y, et al. Feature-tracking based pose estimation for autonomous rendezvous and docking, Systems and Control in Aeronautics and Astronautics (ISSCAA), the 3rd International Symposium on. IEEE, 2010, pp.1198-1203.

DOI: 10.1109/isscaa.2010.5633267

Google Scholar

[8] Cong M, Bao W, Yu H, et al. Modeling and simulation for optical sensor imaging in space rendezvous and docking, Image and Signal Processing (CISP), 3rd International Congress on. IEEE, vol. 5(2010), p.2052-(2056).

DOI: 10.1109/cisp.2010.5646838

Google Scholar

[9] Duan, Guangren, Ze Zhang, and Yong Sun. Research on the measurement in RVD based on dual quaternion. Control and Decision Conference (CCDC), 2011, pp.3299-3303.

DOI: 10.1109/ccdc.2011.5968827

Google Scholar

[10] M. Sc. Leonardo Regoli, On-line Robust Pose Estimation for Rendezvous and Docking in Space using Photonic Mixer Devices. 63rd International Astronautical Congress, (2012).

DOI: 10.1016/j.actaastro.2013.12.005

Google Scholar

[11] Farhad Aghili, Automated Rendezvous & Docking (AR&D) without Impact Using a Reliable 3D Vision System. AIAA Guidance, Navigation, and Control Conference, (2010).

DOI: 10.2514/6.2010-7602

Google Scholar

[12] Trawny N, Zhou X S, Zhou K X, et al. 3D Relative Pose Estimation from Distance-Only Measurements, Intelligent Robots and Systems, 2007, pp.1071-1078.

DOI: 10.1109/iros.2007.4399075

Google Scholar

[13] Wang Jingjing, Huang Jianyu, Qin Shiyin. Detection and Tracking of Cooperative Target for Space Exploration Task Based on Visual Measurement, submitted to the 4th IEEE International Conference on Software Engineering and Service Sciences(2013).

Google Scholar