A New Approach Based on Line Correspondences for Attitude and Position Estimation of Lander

SHAO Wei, GU Tianhao

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Journal of Deep Space Exploration ›› 2017, Vol. 4 ›› Issue (3) : 281-286. DOI: 10.15982/j.issn.2095-7717.2017.03.013

A New Approach Based on Line Correspondences for Attitude and Position Estimation of Lander

  • SHAO Wei, GU Tianhao
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Abstract

In order to achieve precise pin-point landing in deep space exploration missions,a new approach is presented to estimate accurately the lander’s attitude and position based on line correspondences during descent phase. Firstly,lines on the images taken by onboard navigation camera are detected and matched in this algorithm. The linear equations are deduced by n lines and their projection lines. Then,according to the Singular Value Decomposition,the candidate solutions are computed. Lastly,the unique solution about the attitude and position of the lander is obtained by using the least square method. The extensive experiments demonstrate that the error of attitude is less than 0.1° and the error of position is less than 2 m.

Keywords

attitude and position estimation / line correspondences / visual navigation / deep space exploration mission / line band

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SHAO Wei, GU Tianhao. A New Approach Based on Line Correspondences for Attitude and Position Estimation of Lander. Journal of Deep Space Exploration, 2017, 4(3): 281‒286 https://doi.org/10.15982/j.issn.2095-7717.2017.03.013

References

[1] 黄显林,姜肖楠,卢鸿谦,等. 自主视觉导航方法综述[J]. 吉林大学学报:信息科学版,2010,28(2):158-165
Huang X L,Jiang X N,Lu H Q,et al. Survey of vision for autonomous navigation [J]. Journal of Jilin University:Information Science Edition,2010,28(2):158-165
[2] Wokes D,Wokes S. Surveying and pose estimation of a lander using approximative crater modelling[C]//AIAA Guidance,Navigation,and Control Conference. Canada:AIAA,2010.
[3] Simard Bilodeau V,Neveu D,Bruneau-Dbuc S,et al. Pinpoint lunar landing navigation using crater detection and matching:design and laboratory validation[C]//AIAA Guidance,Navigation,and Control Conference. Minneapolis:AIAA,2012.
[4] Li S,Cui P Y,Cui H T. Autonomous navigation and guidance for landing on asteroids [J]. Aerospace Science and Technology,2006,54(10):763-771
[5] 高锡珍,邵巍,冷君阁,等. 一种基于陨石坑拟合椭圆的着陆器位姿估计算法[J]. 深空探测学报,2015,2(3):241-245
Gao X Z,Shao W,Leng J G,et al. An attitude and position determination algorithm of lander based on craters for precision landing[J]. Journal of Deep Space Exploration,2015,2(3),241-245
[6] Cheng Y,Goguen J,Johnson A,et al. The Mars exploration rovers descent image motion estimation system[J]. IEEE Intelligent Systems,2004,19(3):13-21
[7] Jie M,Huang X,Yin H,Lu H. A precise vision-based navigation method for autonomous soft landing of Lunar explorer [C]//2007 IEEE International Conference on Robotics and Biomimetics (ROBIO). Sanya:IEEE,2007.
[8] Ma H,Xu S. Only feature point line-of-sight relative navigation in asteroid exploration descent stage[J]. Aerospace Science and Technology,2014,39:628-638
[9] Lu T,Hu W,Liu C,et al. Relative pose estimation of a lander using crater detection and matching[J]. Optical Engineering,2016,55(2):102-112
[10] Shao W,Gao X,Xi S,et al. Attitude and position determination based on craters for precision landing[J]. Proceedings of the Institution of Mechanical Engineers,Part G:Journal of Aerospace Engineering,2016,230(10):1934 -1942
[11] Cheng Y,Ansar A. A landmark based position estimation for pinpoint landing on mars[C]//Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Spain:IEEE,2005 .
[12] Yu M,Cui H,Tian Y. A new approach based on crater detection and matching for visual navigation in planetary landing[J]. Advances in Space Research,2014,53 (12):1810-1821
[13] Akinlar C,Topal C. EDLines:a real-time line segment detector with a false detection control[J]. Pattern Recognition Letters,2011,32(13):1633-1642
[14] Zhang L. Line primitives and their applications in geometric computer vision[D]. German:Department of Computer Science,Univ.,Multimedia Information Processing Group,2013.
[15] Umeyama S. Least-squares estimation of transformation parameters between two point patterns[J]. IEEE Transactions on pattern analysis and machine intelligence,1991,13(4):376-380
[16] Kumar R,Hanson A R. Robust methods for estimating pose and a sensitivity analysis[J]. CVGIP:Image Understanding,1994,60(3):313-342
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