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基于姿态加权核回归的航天器姿态估计

张浩鹏 姜志国

张浩鹏, 姜志国. 基于姿态加权核回归的航天器姿态估计[J]. 北京航空航天大学学报, 2014, 40(4): 494-499. doi: 10.13700/j.bh.1001-5965.2013.0298
引用本文: 张浩鹏, 姜志国. 基于姿态加权核回归的航天器姿态估计[J]. 北京航空航天大学学报, 2014, 40(4): 494-499. doi: 10.13700/j.bh.1001-5965.2013.0298
Zhang Haopeng, Jiang Zhiguo. Spacecraft attitude estimation based on attitude-weighted kernel regression[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(4): 494-499. doi: 10.13700/j.bh.1001-5965.2013.0298(in Chinese)
Citation: Zhang Haopeng, Jiang Zhiguo. Spacecraft attitude estimation based on attitude-weighted kernel regression[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(4): 494-499. doi: 10.13700/j.bh.1001-5965.2013.0298(in Chinese)

基于姿态加权核回归的航天器姿态估计

doi: 10.13700/j.bh.1001-5965.2013.0298
基金项目: 

国家自然科学基金资助项目(61071137);国家重点基础研究发展计划资助项目(2010CB327900)

详细信息
    作者简介:

    张浩鹏(1986- ),男,河北唐山人,博士生,zhanghaopeng@sa.buaa.edu.cn.

  • 中图分类号: V448.22;TP391.41

Spacecraft attitude estimation based on attitude-weighted kernel regression

  • 摘要: 针对航天器相对姿态估计问题,提出了一种用于单目视觉成像系统的姿态估计方法。在传统核回归方法的基础上,采用训练数据在姿态空间的相似性对视觉输入(图像特征)空间的核函数进行加权,从而学习得到输入变量(图像特征)与目标变量(姿态)的联合概率分布函数,称为接受函数。对于包含未知姿态航天器的图像,通过求取接受函数在姿态空间的最大值,得到目标航天器的姿态估计值。该方法仅需要训练数据学习模型,较其他基于视觉的方法限制更少.对比实验结果证明了该方法在姿态估计方面的优越性,卫星数据集上的实验结果验证了该方法用于航天器姿态估计的有效性。

     

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出版历程
  • 收稿日期:  2013-05-27
  • 网络出版日期:  2014-04-20

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