Methods of monocular pose measurement based on planar objects

Xiang-jun WANG; Yu CAO; Kai ZHOU

doi:10.3788/OPE.20172501.0274

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Methods of monocular pose measurement based on planar objects

Information Sciences | 更新时间：2020-07-07

- Methods of monocular pose measurement based on planar objects
- Optics and Precision Engineering Vol. 25, Issue 1, Pages: 274-280(2017)
- 作者机构：
  
  天津大学微光机电教育部重点实验室, 天津 300072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20172501.0274
  CLC： TB853.29
- Received：24 June 2016，
  
  Accepted：20 August 2016，
  
  Published：25 January 2017
- 稿件说明：
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Xiang-jun WANG, Yu CAO, Kai ZHOU. Methods of monocular pose measurement based on planar objects[J]. Optics and precision engineering, 2017, 25(1): 274-280.
DOI：

Xiang-jun WANG, Yu CAO, Kai ZHOU. Methods of monocular pose measurement based on planar objects[J]. Optics and precision engineering, 2017, 25(1): 274-280. DOI： 10.3788/OPE.20172501.0274.

摘要

针对空间交会对接的近距离位姿测量要求，提出了一种基于单目视觉的二维合作目标位姿解算算法。为方便空中移动平台的调整以满足特定的位姿关系，引入了一种新的姿态角定义方法，此方法定义的三个姿态角可以作为平台姿态调整的反馈量且不受旋转顺序的限制。平面模型相对于相机坐标系的三个姿态角和位置向量可通过平面单应矩阵直接导出。在测量实验中，算法基于DSP平台实现，合作目标由4个共面LED光源构成，测量值基准由高精度倾角传感器和全站仪获得。对空间位置变化范围为2 m×2 m，姿态角变化范围为-30°~30°的目标平面进行测量，结果表明，本算法可实现0.88%的相对位置定位误差和最大为0.996°的姿态角测量误差，且单帧算法的解算速度仅为0.25 ms。

Abstract

A plane objects pose measurment algorithm based on monocular vision is proposed aiming at close-range pose measurement requirements in space rendezvous and docking. In order to facilitate the adjustment of the aerial mobile platform so as to satisfy the specific position relations

a new angle definition method is introduced

the three angles defined by which can be used as the feedback of the platform attitude adjustment and they are not restricted by the order of rotation. The three angles and position vectors of the plane model with respect to the camera coordinate system can be directly derived from the plane homography matrix. In the measurement experiment

the algorithm is implemented based on DSP platform

and the cooperative target is composed of 4 coplanar LED light sources

and the measuring datum is obtained by the high-precision inclination angle sensor and the total station instrument. Experimental results show that for the target surface measurement with spatial position change range at 2 m×2 m and the angle ranging from -30 degrees to 30 degrees

this algorithm can achieve 0.88% relative positioning error and maximum 0.996° angle measurement error

and the single-frame computing time is only 0.25 ms.

关键词

Keywords

references

赵连军,刘恩海,张文明,等. 单目三点位置测量精度分析[J]. 光学精密工程,2014,22(5):1190-1197.

ZHAO L J, LIU E H, ZHANG W M, et al.. Analysis of position estimation precision by cooperative target with three feature points[J]. Opt. Precision Eng., 2014,22(5):1190-1197.(in Chinese)

夏军营,徐小泉,熊九龙. 利用平行透视投影模型的位姿迭代估计[J]. 光学精密工程,2012,20(6):1342-1349.

XIA J Y, XU X Q, XIONG J L. Iterative pose estimation using paraperspective camera model[J].Opt. Precision Eng., 2012,20(6):1342-1349.(in Chinese)

张铁毅,薛建平,孙超姣,等. 航天器空间对接位置视觉测量方法[J]. 飞行力学,2016,34(1):68-71 ZHANG T Y, XUE J P, SUN CH J, et al.. A vision-based location method for spacecraft docking[J]. Flight Dynamics, 2016,34(1):68-71.(in Chinese)

张劲锋,蔡伟,孙承启. 基于单目视觉的空间非合作目标相对运动参数估计[J]. 空间控制技术与应用,2010,36(2):31-35.

ZHANG J F, CAI W, SUN CH Q. Monocular vision-based relative motion parameter estimation for non-cooperative objects in space[J]. Aerospace Control and Application, 2010,36(2):31-35. (in Chinese)

FISCHLER M A, BOLLES R C. Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM, 1981, 24(6):381-395.

ABIDI M A, CHANDRA T. A new efficient and direct solution for pose estimation using quadrangular targets:algorithm and evaluation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(5):534-538.

HUNG Y B, YEH P SH, HARWOOD D. Passive ranging to known planar point sets[C]. IEEE, 1985:80-85.

DENIS O, DANIEL F D, LARRY S D. Iterative pose estimation using coplanar feature points[J]. Computer Vision and Image Understanding, 1996,63(3):495-511.

GERALD S, AXEL P. Robust pose estimation from a planar target[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(12):2024-2030.

VINCENT L, FRANCESC M N, PASCAL F. EPnP:an accurate O(n) solution to the PnP problem[J]. International Journal of Computer Vision, 2009, 81(2):155-166.

LU CH P, GREGORY D H, MJOLSNESS E. Fast and globally convergent pose estimation from video images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(6):610-622.

RICHARD H. Multiple View Geometry in Computer Vision[M]. United Kingdom:Cambridge University Press, 2003.

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