无人月球探测器缓冲着陆抛投试验视觉测量系统

晁志超; 姜广文; 黄 伟; 宋师军; 于起峰

doi:10.3788/OPE.20101809.2044

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无人月球探测器缓冲着陆抛投试验视觉测量系统

信息科学 | 更新时间：2020-08-12

- 无人月球探测器缓冲着陆抛投试验视觉测量系统
- Vision measuring system for soft-landing drop test of unmanned lunar explorer
- 光学精密工程 2010年18卷第9期页码：2044-2052
- 作者机构：
  
  1. 国防科技大学光电科学与工程学院,湖南长沙,410073
  2. 北京空间机电研究所,北京 100076
  3. 国防科技大学航天与材料工程学院,湖南长沙 410073
- 作者简介：
- 基金信息：
  
  嫦娥"();二期工程"();着陆缓冲机构组合缓冲试验"();项目()
- DOI：10.3788/OPE.20101809.2044
  中图分类号： TP391;V476.3
- 收稿日期：2009-11-12，
  
  修回日期：2010-01-18，
  
  网络出版日期：2010-09-29，
  
  纸质出版日期：2010-09-20
- 稿件说明：
移动端阅览
晁志超, 姜广文, 黄伟, 宋师军, 于起峰. 无人月球探测器缓冲着陆抛投试验视觉测量系统[J]. 光学精密工程, 2010,18(9): 2044-2052

CHAO Zhi-chao, JIANG Guang-wen, HUANG Wei, SONG Shi-jun, YU Qi-feng. Vision measuring system for soft-landing drop test of unmanned lunar explorer[J]. 光学精密工程, 2010,18(9): 2044-2052
晁志超, 姜广文, 黄伟, 宋师军, 于起峰. 无人月球探测器缓冲着陆抛投试验视觉测量系统[J]. 光学精密工程, 2010,18(9): 2044-2052 DOI： 10.3788/OPE.20101809.2044.

CHAO Zhi-chao, JIANG Guang-wen, HUANG Wei, SONG Shi-jun, YU Qi-feng. Vision measuring system for soft-landing drop test of unmanned lunar explorer[J]. 光学精密工程, 2010,18(9): 2044-2052 DOI： 10.3788/OPE.20101809.2044.

摘要

针对无人月球探测器缓冲着陆运动抛投试验中对探测器缓冲着陆过程中三维姿态、三维速度等运动参数和缓冲着陆机构缓冲行程的测量

设计了基于计算机视觉的抛投试验测量系统。首先

在探测器主体结构上喷绘若干对顶角标志

并用全站仪测量出这些标志的空间坐标。然后

用高速摄像机采集探测器缓冲着陆过程的序列图像。最后

利用单目视觉的方法对标志的空间坐标及探测器的序列图像进行处理得到上述参数。该系统硬件设备简单

软件操作方便。理论分析和实验验证均表明

采用该系统测量探测器运动参数

其姿态角测量精度优于4'

运动速度测量精度约为0.02 m/s

探测器缓冲行程精度约为4 mm

完全满足无人月球探测器缓冲着陆运动试验中的测量精度要求。

Abstract

A measuring system based on computer vision was developed to measure the movement parameters of a unmanned lunar explorer at a soft-landing test

such as the 3D pose

3D velocity of explorer and the working strobe of snubber. Firstly

some opposite-vertical-angle marks were painted on the surface of the explorer

and their 3D coordinates were measured by a high-precision total station. Then

a series of images were taken by a high speed digital camera during the soft-landing test of explorer. Finally

the above parameters could be obtained by processing serial images of the explorer and 3D coordinates of the marks with the mono-vision method. The system is compact and easy to be operated. The theoretical analysis and experiments for the measurement precision of the system were performed. The results indicate that accuracies of pose angle

velocity and working strobe in measurements are 4'

0.02 m/s and 4 mm

respectively

which can satisfy the requirements of movement parameter measurements in the soft-landing tests for unmanned lunar explorers.

关键词

Keywords

references

杨湘杰,刘焕焕,王文林. 月球探测器的软着陆技术

. 机电产品开发与创新, 2008,21(3):27-33. YANG X J, LIU H H, WANG W L. An introduction to soft-landing techniques for lunar lander

. Development & Innovation of Machinery & Electrical Products, 2008,21(3):27-33. (in Chinese)

单永正,段广仁,吕世良. 月球探测器软着陆的最优控制

. 光学精密工程, 2009,17(9):2153-2158. SHAN Y ZH, DUAN G R, LU S L. Optimal control for soft landing of lunar probe

. Opt. Precision Eng., 2009,17(9):2153-2158. (in Chinese)

尚洋,于起峰,陆宏伟. 圆形对角标志自动识别与精确定位 . 成都:2002年全国光电技术学术交流会,2002:218-223. SHANG Y, YU Q F, LU H W. Auto-recognition and pinpoint of circular opposite vertical angle marks . 2002 China Optoelectronics Technology Conference, Chengdu, P.R. China:2002:218-223. (in Chinese)

于起峰,陆宏伟,刘肖琳. 基于图像的精密测量与运动测量

. 北京:科学出版社,2002. YU Q F, LU H W, LIU X L. Image-Based High Precision Movement Measurements

. Beijing: Science Press, 2002. (in Chinese)

马颂德,张正友. 计算机视觉

. 北京:科学出版社,1998. MA S D, ZHANG ZH Y. Computer Vision

. Beijing: Science Press, 1998. (in Chinese)

张广军. 视觉测量

. 北京:科学出版社,2008. ZHANG G J. Vision Measurement

. Beijing: Science Press, 2008. (in Chinese)

LU C P, HAGER G D, MJOLSNESS E. Fast and globally convergent pose estimation from video images

. IEEE, 2000,22(6):610-622.

QUAN L,LAN Z. Linear N-point camera pose determination

. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999,21(7):774-780.

ANSAR A, DANIILIDIS K. Linear pose estimation from points or lines

. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25(5):578-589.

ZHANG Z Y, ZHU D Y, ZHANG J. An improved pose estimation algorithm for real-time vision applications

. IEEE, 2006,28(6):402-406.

LEPETIT V. EPnP: An accurate O(n) solution to the PnP problem

. Int J Comput Vis, 2009,81(2):155-166.

刘利生. 外弹道测量数据处理

. 北京:国防工业出版社,2002. LIU L SH. Data Processing of Ballistic Missiles Survey

. Beijing: National Defense Industry Press, 2002. (in Chinese)

ZHANG Z Y. A flexible new technique for camera calibration

. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000,22(11):1330-1334.

孙军华,刘震,张广军,等. 基于柔性立体靶标的摄像机标定

. 光学学报,2009, 29(12):3433-3439. SUN J H, LIU ZH, ZHANG G J, et al.. Camera calibration based on flexible 3D target

. Acta Optica Sinica, 2009,29(12):3433-3439. (in Chinese)

江加和, 宋子善,沈为群. 摄像机标定中一种约束条件选择方法

. 光学精密工程, 2000,8(4):373-376. JIANG J H, SONG Z SH, SHEN W Q, et al.. Constraint condition selection method in camera calibration

.Opt.Precision Eng.,2000,8(4):373-376.(in Chinese)

刘宏建,罗毅,刘允才. 可变精度的神经网络摄像机标定法

. 光学精密工程, 2004,12(4):443-448. LIU H J, LUO Y, LIU Y C. Variable precision camera calibration using neural network

. Opt. Precision Eng., 2004,12(4):443-448. (in Chinese)

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