多通道大视场目标定位仪的研制

郭方; 王克逸; 吴青林

doi:10.3788/OPE.20132101.0026

您当前的位置：

首页 >

文章列表页 >

多通道大视场目标定位仪的研制

现代应用光学 | 更新时间：2020-08-12

- 多通道大视场目标定位仪的研制
- Development of target positioning instrument with multi-channels and large field of view
- 光学精密工程 2013年21卷第1期页码：26-33
- 作者机构：
  
  福建工程学院2. 中国科学技术大学精密机械与精密仪器系
- 作者简介：
- 基金信息：
  
  基于复眼的大视场面形测量原理与实验研究()
- DOI：10.3788/OPE.20132101.0026
  中图分类号： TH741
- 收稿日期：2012-09-03，
  
  修回日期：2012-10-22，
  
  网络出版日期：2013-01-24，
  
  纸质出版日期：2013-01-15
- 稿件说明：
移动端阅览
郭方王克逸吴青林. 多通道大视场目标定位仪的研制[J]. 光学精密工程, 2013,21(1): 26-33

Fang Guo WANG Ke-yi WU Qing-lin. Development of target positioning instrument with multi-channels and large field of view[J]. Editorial Office of Optics and Precision Engineering, 2013,21(1): 26-33
郭方王克逸吴青林. 多通道大视场目标定位仪的研制[J]. 光学精密工程, 2013,21(1): 26-33 DOI： 10.3788/OPE.20132101.0026.

Fang Guo WANG Ke-yi WU Qing-lin. Development of target positioning instrument with multi-channels and large field of view[J]. Editorial Office of Optics and Precision Engineering, 2013,21(1): 26-33 DOI： 10.3788/OPE.20132101.0026.

摘要

研制了一种在大视场范围内可靠性高、功耗低的便携式目标定位仪器。研究了该系统采用的光、机、电、定位数学模型、标定方案以及在目标定位过程中根据像点识别对应通道的算法等。首先，根据大视场的要求设计了透镜阵列曲面分布的结构，加工了安放透镜的球壳基底，并将它们成像在同一个图像传感器上。采用折射透镜进一步优化了光路系统，从而改善了成像质量。编写了相应的驱动程序完成了图像的采集和数据高速传输，然后，建立了所设计复眼系统的定位数学模型

并对复眼成像系统进行了标定。最后，根据像点匹配通道算法，实现了目标的三维定位，并在此基础上进行了简单的三维零件轮廓测量。实验结果表明：系统对横向66、纵向43视场角的目标实际三维测量精度误差在2%左右，表明本仪器能完成大视场范围内的目标三维定位任务。

Abstract

To implement the high reliability and low power consumption

a small-scale target positioning instrument with multi-channels and a large field of view was developed. The optical

mechanical

electronic

mathematical models were built and a calibrating scheme and the algorithm to distinguish the corresponding channels for the imaging points in target positioning were investigated. First

the surface distribution structure of a lens array was designed according to the requirement of large field of view

a spherical shell substrate for installing lenses was machined

and the whole lenses were imaged on one CMOS. Subsequently

the imaging quality was improved by the designed refractive lens and the drivers of CMOS and USB2.0 were developed. Then

a mathematical model for the designed compound eye system was established

and the system calibration was completed. Finally

by the distinguished algorithm for the channels of their imaging points

the target positioning was completed

and three dimensional contours of a large part was measured based on the designed system. Experimental results indicate that the actual measured error for the target is about 2%

whose viewing angle is covered with 66 on the horizontal plane and 43 on the vertical plane of the compound eye. It can satisfy the system requirements of three dimensional target positioning with a large field of view.

关键词

Keywords

references

李盾. 空间预警系统对目标的定位与预报[D].长沙: 国防科学技术大学, 2001.LI D. Location and prediction for target in the warning system[D].Changsha: National University of Defense Technology, 2001.(in Chinese)[2]BESL P J, JAIN R C. Three dimensional object recognition [J]. ACM Comput. Surveys, 1985,17(1)： 75-145.[3]SOEEN L，KJELLANDER J A P．An industrial robot and a laser scanner as a flexible solution towards an automatic system for reverse engineering of unknown objects [C]．Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis， 2004:341-350．[4]韦毅,杨万海,李红艳.红外三维定位精度分析[J]. 红外, 2002,2:11-14.WEI Y,YANG W H, LI H Y. Accuracy analysis of 3D infrared passive location [J]. Infared, 2002, 2:11-14.(in Chinese)[5]贾云得. 机器视觉[M].北京:科学出版社, 2000.JIA Y D. Machine Vision[M].Beijing:Science Press, 2000.(in Chinese)[6]JIRAW I R， PRAKOONW I S， CECELIA F,et al.. Visual odometer for pedestrian navigation [J]．IEEE Transactions on Instrumentation and Measurement,2004,52(4)：1166-1173．[7]WEI P, ZEIDLER J，WU W．Analysis of multiframe target detection using pixel statistics[J]．IEEE Transaction on Aerospace and Electronic System，1995，31(1)：238-247．[8]MATHIES L，BROWN E. Machine vision for obstacle detection and ordnance recognition[C]．Proceedings of Annual meeting of the Association for Unmanned Vehicle Systems，1996：1-9．[9]LAND M F, STAVENGA D G. HARDIE R C, et al.. Variations in the structure and design of compound eyes[J]. In Facets Vision, New York: Springer Verlag, 1989: 90-111.[10]JUSTH E W, KRISHNAPRASAD P S. Steering laws for motion camouflage [C]. Proceeding Royal Soc. A, 2006, 462:3629-3643.[11]HORNSEY R, THOMAS P, WONG W, et al.. Electronic compound-eye image sensor: construction and calibration [J]. SPIE, 2004, 5301:13-24.[12]张红鑫, 卢振武, 李凤有,等. 曲面复眼成像系统的研究[J]. 光学精密工程, 2006，14(3):346-350.ZHANG H X, LU ZH W, LI F Y, et al.. Study on curved compound eye imaging system [J]. Opt. Precision Eng., 2006, 14(3):346-350.(in Chinese)[13]金伟其,林青,裘溯,等. 多孔径仿生复眼成像系统技术进展综述[J].光学与光电技术，2011，9(6)：9-13.JIN W Q, LIN Q, QIU S, et al.. Progress of multiaperture bionic compound eye imaging systems[J]. Optics & Optoelectronic Technology, 2011, 9(6): 9-13. (in Chinese)[14]曹兆楼,詹珍贤,王克逸. 用于运动目标探测的球面复眼透镜的结构设计[J]. 红外与激光工程, 2011,40(1):70-73.CAO ZH L, ZHAN ZH X, WANG K Y. Structural design of spherical compound eye lens for moving object detection [J]. Infrared and Laser Engineering, 2011,40(1):70-73. (in Chinese)[15]郭方, 王克逸,曹兆楼，等. 基于目标定位与跟踪的簇眼结构和图像采集系统设计[J]. 航空兵器, 2011, 2:47-51.GUO F, WANG K Y, CAO ZH L, et al.. Design of cluster eyes and image collection system based on target positioning and target tracking [J]. Aero Weaponry,2011, 2:47-51.(in Chinese)[16]郭方, 王克逸, 闫佩正. 基于大视场目标定位的复眼系统标定[J]. 光学精密工程, 2012, 20(5): 913-920.GUO F, WANG K Y, YAN P ZH, et al.. Calibration of compound eye system for target positioning with large field of view [J]. Opt. Precision Eng., 2012, 20(5):913-920.(in Chinese)[17]TANIDA J, KUMAGAI T, YAMADA K, et al.. Thin observation module by bound optics (TOMBO): an optoelectronic image capturing system [J]．SPIE, 2000, 4089: 1030-1036.[18]TANIDA J, KITAMURA Y, YAMADA K, et al.. Compact image capturing system based on compound imaging and digital reconstruction [J]. SPIE, 2001, 4455:34-41.

浏览量

264

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于多位姿标靶的激光跟踪姿态测量系统参数标定

大口径爆炸激波管出口冲击波流场图像测量

适用于瞬态条件的多通道序列前光成像系统设计

多通道融合注意力网络的低照度图像增强

大视场远距离视觉测量系统的分步标定