Application of time-of-flight camera for relative measurement of non-cooperative target in close range

被引：0
作者：
Liang B. [1 ,2 ]
He Y. [1 ]
Zou Y. [2 ]
Yang J. [3 ]
机构：
[1] Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen
[2] Department of Automation, Tsinghua University, Beijing
[3] Shenzhen Graduate School, Tsinghua University, Shenzhen
来源：
Yuhang Xuebao/Journal of Astronautics | 2016年 / 37卷 / 09期
关键词：
Non-cooperative target; Relative measurement; ToF(Time-of-flight) camera;
D O I：
10.3873/j.issn.1000-1328.2016.09.007
中图分类号：
学科分类号：
摘要：
According to the problem existing the measurement instruments in the measurement of the non-cooperative target in close range, this paper analyzes the possibility of the time-of-flight (ToF) camera in space application. Firstly, the research status of the relative measurement of the non-cooperative targets in close range and the existing measurement methods are summarized. Secondly, the principle and development of the ToF cameras are introduced and the typical feature of the non-cooperative targets is chosen as an example to analyze the performance indices of the ToF cameras. Thirdly, the ToF cameras and the existing measurement methods in close range are compared in terms of the performance and the key techniques involved are sorted out. Finally, the development trends of the ToF cameras and their applications in space are prospected. © 2016, Editorial Dept. of JA. All right reserved.
引用
收藏
页码：1080 / 1088
页数：8
相关论文
共 46 条
[1]  
Liang B., Xu W.-F., Li C., Et al., The status and prospect of orbital servicing in the geostationary orbit, Journal of Astronautics, 31, 1, pp. 1-13, (2010)
[2]  
Oumer N.W., Panin G., 3D point tracking and pose estimation of a space object using stereo images, The 21st International Conference on Pattern Recognition, (2012)
[3]  
Henry P., Krainin M., Herbst E., Et al., RGB-D mapping: using kinect-style depth cameras for dense 3D modeling of indoor environments, The International Journal of Robotics Research, 31, 5, pp. 647-663, (2012)
[4]  
Fleet D., Pajdla T., Schiele B., Et al., Learning 6D object pose estimation using 3D object coordinates, The 13th European Conference, (2014)
[5]  
Jing T., Jin Z., Ligang L., Et al., Scanning 3D full human bodies using kinects, IEEE Transactions on Visualization and Computer Graphics, 18, 4, pp. 643-650, (2012)
[6]  
Thienel J.K., Sanner R.M., Hubble space telescope angular velocity estimation during the robotic servicing mission, Journal of Guidance Control and Dynamics, 30, 1, pp. 29-34, (2007)
[7]  
Thomas D., Sean D., Overview and performance of the front-end robotics enabling near-term demonstration (FREND) robotic arm, AIAA Infotech Aerospace Conference, (2009)
[8]  
Wen X., Wang X.-L., Liu B.-Z., The experimental small sate unit system XSS-11, Aerospace China, 7, pp. 22-25, (2006)
[9]  
Depeuter W., Visentin G., Fehse W., Et al., Satellite servicing in GEO byrobotic service vehicle, ESA Bulletin-European Space Agency, 78, pp. 33-39, (1994)
[10]  
Hirzinger G., Landzettel K., Brunner B., Et al., DLR's robotics technologies for on-orbit servicing, Advanced Robotics, 18, 2, pp. 139-174, (2004)
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