Measurement and Error Analysis of Moving Target Pose Based on Laser Projection Imaging

被引:3
作者
Huo J. [1 ]
Li Y.-H. [2 ]
Yang M. [2 ]
机构
[1] School of Electrical Engineering & Automatic, Harbin Institute of Technology, Harbin
[2] Control and Simulation Center, School of Astronautics, Harbin Institute of Technology, Harbin
来源
Guangzi Xuebao/Acta Photonica Sinica | 2017年 / 46卷 / 09期
基金
中国国家自然科学基金;
关键词
Cooperative target; Error propagration; Laser projection; Pose measurement; Vision measurement;
D O I
10.3788/gzxb20174609.0912001
中图分类号
学科分类号
摘要
In order to realize the high precision measurement of indoor moving target pose, a pose measurement system based on laser projection imaging was established. The system used pairwise collinear and crossover arranged on the same plane point laser projector as the cooperation target, the motion target pose measurement baseline amplification system was made up of cooperation target and laser projection point receiving curtain. Then, the high speed camera was used to real-time recording curtain projection light spot, and the world coordinates of projection spots were solved by the camera calibration results, the moving target pose calculation model was established using a unit vector that formed between projection spots. Finally, according to the measurement principle of target pose, the error transform function of image coordinate extraction, the external calibration parameters of camera and the beam straightness were deduced. The experimental results shows that when the cameras field-of-view is around 14000 mm×7000 mm, the attitude angle measuring accuracy of measurement system is 1' (1δ), the position is 5mm, and the target pose measurement error transfer function calculation. To verify the accuracy of the target pose measurement method proposed in this paper and the error transfer model, it can satisfy the target pose high precision requirements. © 2017, Science Press. All right reserved.
引用
收藏
相关论文
共 15 条
[1]  
Zhang L.-M., Zhu F., Hao Y.-M., Et al., Pose measurement based on a circle and a non-coplanar feature point, Acta Photonica Sinica, 44, 11, (2015)
[2]  
Summan R., Pierce S.G., Macleod C.N., Et al., Spatial calibration of large volume photogrammetry based metrology systems, Measurement, 68, 2015, pp. 189-200, (2015)
[3]  
Baqersad J., Poozesh P., Niezrecki C., Et al., Photogrammetry and optical methods in structural dynamics-A review, Mechanical Systems and Signal Processing, 86, 2017, pp. 17-34, (2017)
[4]  
Xu W.-F., Liang B., Li C., Et al., The approach and simulation study of the relative pose measurement between space-crafts based on sterovision, Journal of Astronautics, 30, 4, pp. 1421-1428, (2009)
[5]  
Wang X.-J., Cao Y., Zhou K., Methods of monocular pose measurement based on planar objects, Optics and Precision Engineering, 25, 1, pp. 274-280, (2017)
[6]  
Du X.-P., Zhang D.-X., Error analysis of method for the spacecraft state measure based on target feature, Journal of the Academy of Equipment command & Technology, 17, 5, pp. 69-73, (2006)
[7]  
Shang Y., Yu Q.-F., Vision-based disturbance-rejecting methods for space targets pose measurement, Journal of Astronautics, 29, 3, pp. 938-944, (2008)
[8]  
Liu W., Ma X., Li X., Et al., High-precision pose measurement method in wind tunnels based on laser-aided vision technology, Chinese Journal of Aeronautics, 28, 4, pp. 1121-1130, (2015)
[9]  
Wang Y., Zhang G.-J., Chen D.-Z., Tether insect motion parameters measurement system based on stereo vision, Acta Aeronautica et Astronautica Sinica, 26, 6, pp. 733-737, (2005)
[10]  
Yang N., Huo J., Yang M., A method for attitude measurement of a test vehicle based on the tracking of vectors, Measurement Science and Technology, 2015, 26, pp. 1-11, (2015)