Target positioning technology and its structural parameter optimization based on vision measurement

被引：0
|
作者：
Liu Y. [1 ,2 ]
Lei B. [1 ]
Fan B. [1 ]
Bian J. [1 ]
机构：
[1] Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu
[2] University of Chinese Academy of Sciences, Beijing
来源：
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2020年 / 49卷
关键词：
Accuracy analysis; Cooperative target design; Monocular vision; Perspective-n-point problem; Pose measurement;
D O I：
10.3788/IRLA20200191
中图分类号：
O43 [光学]; T [工业技术];
学科分类号：
070207 ; 08 ; 0803 ;
摘要：
A scalable visual measurement was presented to meet the technical requirements of target location under large size and long distance non -contact conditions. Many visual measurement methods seek to obtain higher accuracy on the improvement of PnP algorithm, but do not consider the impact of increasing the number of feature points. Thus, a cooperative target design by quantitatively expanding the number of feature points to achieve higher positioning accuracy was proposed. Firstly, through the establishment of measurement model and accuracy analysis, the function analysis formula of measurement accuracy of n -point target was obtained by using error propagation theory. Then the accuracy of the model was verified through simulation experiments, and the effect of the arrangement of the feature points of the cooperative target on accuracy was further discussed. Subsequently, the target layout and structural parameters were optimized. The experimental results show that the reprojection error of the designed 16-point ring array target is reduced by about 50.3% compared with the same size P4P target, and the stereo target further reduces the reprojection error by 39.2%. This technology can be used not only for target positioning in special environments, but also for unit state monitoring in complex systems. © 2020, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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