基于ORB-SLAM的低照度空间非合作目标的姿态估计
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上海交通大学 工程力学系,海洋工程国家重点实验室,上海200240

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E-mail: caigp@sjtu.edu.cnE-mail: caigp@sjtu.edu.cn

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基金项目:

国家自然科学基金(11772187, 11802174),中国博士后基金(2018M632104)


Attitude Estimation of an Non-cooperative Spacecraft in Low-light Condition Based on ORB-SLAM
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Affiliation:

Department of Engineering Mechanics, State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China

Fund Project:

National Natural Science Foundation of China (11772187, 11802174) and the Postdoctoral Science Foundation of China (2018M632104)

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    摘要:

    相机视觉观测在空间技术中有着广阔的工程应用前景,然而太空的弱光照条件会影响相机所采集图像的质量。本文将低照度增强LIME算法与ORB-SLAM算法相结合,提出了一种弱光照条件下空间非合作目标的姿态估计方案。该方案首先运用LIME算法对图像进行增强处理,以能够从中提取出目标上足够的特征点,然后利用ORB-SLAM算法对目标的姿态进行有效估计。仿真结果表明,本文所提方案可以有效地实现弱光照情况下空间非合作目标的姿态估计。

    Abstract:

    The visual technology has a broad application prospect in space technology. However, the low-light condition in space will affect the quality of the image obtained by the camera. In this paper, we combine LIME with ORB-SLAM algorithms and propose an attitude estimation scheme for non-cooperative spacecrafts in low-light condition. The scheme first uses the LIME algorithm to enhance the images, so that the images can be extracted sufficient feature points. The ORB-SLAM algorithm is then used to estimate attitude of the non-cooperative target. The simulation results show that the proposed scheme can effectively estimate the attitude of non-cooperative targets in low-light condition.

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引用本文

周朋博,刘晓峰,蔡国平.基于ORB-SLAM的低照度空间非合作目标的姿态估计[J].动力学与控制学报,2021,19(1):66~72; Zhou Pengbo, Liu Xiaofeng, Cai Guoping. Attitude Estimation of an Non-cooperative Spacecraft in Low-light Condition Based on ORB-SLAM[J]. Journal of Dynamics and Control,2021,19(1):66-72.

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历史
  • 收稿日期:2019-10-06
  • 最后修改日期:2019-11-23
  • 录用日期:2020-01-02
  • 在线发布日期: 2021-03-08
  • 出版日期: 2021-02-20

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