首页 > 过刊浏览>2017年第31卷第10期 >1667-1672. DOI:10.13382/j.jemi.2017.10.021
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靶场远程监测自动评估系统及弹落点定位研究
作者:
作者单位:

1. 天津大学微光机电系统技术教育部重点实验室天津300072;2. 北华航天工业学院电子与控制工程学院廊坊065000

中图分类号:

TN98；V243.5

基金项目:

国家重点研发计划项目（2017YFC0601900,2017YFC0601901）河北省高等学校科学技术研究重点项目（ZD2016106）、河北省高等学校科学技术研究项目（ZC2016098）资助


Research on remote monitoring automatic assessment system and explosion points location
Author:
Affiliation:

1. Key Laboratory of MOEMS of the Ministry of Education, Tianjin University, Tianjin 300072, China; 2.Institute of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China

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    摘要:

    提出的靶场报靶系统实现对炮兵、航空兵对地火力打击的远程监测以及弹落点落地位置的自动评估，给部队作战训练效果提供有效的科学依据，同时也是建设数字化靶场的需要。系统基于无线网络传输终端及RS485，是具有分布式测量、无人值守、远程控制、人机交互界面友好等特点，实现弹落点自动识别定位、信息无线传输、数字化显示及数据管理等功能的三级报靶系统。系统构建基于双目立体视觉测量原理，相机25 fps连续采集100帧图像，实时在线实现15个弹落点定位解算，较好解决了超大三维空间下多个目标自动定位解算问题。

    Abstract:

    In this paper, targetscoring system accomplishes artillery, aviation firefighting remote monitoring and explosion points location automatic assessment, and provides effective scientific basis to the army combat training effect, at the same time also is the need of construction of digital range. 3level targetscoring system based on wireless transmission terminal and RS485 network has the characteristics of distributed measurement, unmanned, remote control, friendly manmachine interface, and accomplishes automatic identification and location, information wireless transmission, digital display, and data management. The system is built based on binocular stereo vision measurement principle. 25 fps camera collects 100 consecutive frames, and implements 15 explosion points locations realtime and online. It has well solved the problem of large threedimensional space multiple targets automatic positioning calculation.

    参考文献
    [1]王向军,王晶,刘峰,等.野外大视场双目视觉物体定位监测系统的单参数快速标定[J].光学精密工程,2013,21（10）:26642670. WANG X J,WANG J, LIU F, et al. Fast calibration for binocular vision measuring system with a large field[J]. Optics and Precision Engineering, 2013,21（10）:26642670.
    [2]鲁永为,王向军,张宁宁,等.基于McWiLL和RS485网络的多级报靶系统[J].计算机工程,2013,39（8）:314317. LU Y W, WANG X J, ZHANG N N, et al. Multigrade targetscoring system based on McWiLL and RS485 network[J]. Computer Engineering, 2013,39（8）:314317.
    [3]曲学军，张璐，张凌云.基于新的成像模型的摄像机标定与三维重建[J].仪器仪表学报,2011,32（8）:18301836. QU X J, ZHANG L, ZHANG L Y. Camera calibration and 3D reconstruction based on a new imaging model[J]. Chinese Journal of Scientific Instrument, 2011,32（8）:18301836.
    [4]LI G, WANG W, WANG Y, et al. Nanomanipulation based on realtime compressive tracking[J]. IEEE Transactions on Nanotechnology, 2015, 14(5): 837846.
    [5]乔玉晶,王浩然,赵燕江.大尺寸曲面零件的双目视觉测量网络规划研究[J].仪器仪表学报,2015,36(4):913918. QIAO Y J,WANG H R,ZHAO Y J. Study on binocular vision measurement networklayout for large curved surface parts[J]. Chinese Journal of Scientific Instrument,2015,36(4):913918.
    [6]欧巧凤, 赵平均, 熊邦书, 等.基于立体视觉的旋翼共锥度动态测量系统精度分析[J].仪器仪表学报,2015,36(8):16921698. OU Q F, ZHAO P J, XIONG B SH, et al. Accuracy analysis of the measuring instrument for taper angle of runningrotor blades based on stereo vision[J]. Chinese Journal of Scientific Instrument, 2015, 36(8):16921698.
    [7]刘通,乔立岩,罗天男,等.基于点云配准的立方体卫星非合作姿态估计[J].仪器仪表学报,2016,37（10）:23162323. LIU T, QIAO L Y, LUO T N, et al. Noncooperative pose estimation for cubesat based on point set registration[J]. Chinese Journal of Scientific Instrument, 2016, 37(10):23162323.
    [8]熊建平.基于计算机视觉的墙地砖表面缺陷检测[J].电子测量技术,2015,38(5):5355. XIONG J P. Research on the surface defect detection of floor tile based on computer vision[J]. Electronic Measurement Technology, 2015,38(5):5355.
    [9]王鑫.基于双目立体视觉的特征一致物体匹配与定位研究[D].天津：天津大学，2013. WANG X. Research on objects in the same characteristics matching and positioning based on binocular stereo vision [D].Tianjin:Tianjin University，2013.
    [10]王鑫,王向军,冯登超,等.特征一致红外弱小目标匹配与定位研究[J].电子测量与仪器学报,2016,30(9):14051410. WANG X, WANG X J, FENG D CH, et al. Research on matching and locating of infrared dim small targets with the same characteristics[J]. Journal of Electronic Measurement and Instrumentation, 2016, 30(9):14051410.
    [11]严念.基于立体视觉的具有相同特征的多目标匹配方法研究[D].天津：天津大学，2015. YAN N. A study on matching of objects with the same feature for stereo vision[D].Tianjin:Tianjin University，2015.
    [12]WANG G H, WU Q M J, ZHANG W.Camera selfcalibration and three dimensional reconstruction under quasiperspective projection[C]. Canadian Conference on Computer & Robot Vision, 2008:129136.
    [13]刘一凡,蔡振江,索雪松.基于基础矩阵与HEIV模型的双目相机标定[J].电子测量与仪器学报, 2016, 30(9):14251431. LIU Y F, CAI ZH J, SUO X S. New calibration method Of binocular camera based on fundamental matrix & HEIV model[J]. Journal of Electronic Measurement and Instrumentation, 2016, 30(9):14251431.
    [14]王向军,郭文佳, 韩双来,等.基于计算机视觉的弹着点坐标远程测量系统[J]. 红外与激光工程,2006,35（5）:624628. WANG X J, GUO W J, HAN SH L, et al. Remote measuring system of bombfall based on computer vision[J]. Infrared and Laser Engineering, 2006,35（5）:624628.
    [15]吴渊凯，卞新高.计算机视觉中摄像机标定的实验分析[J].电子测量技术，2016,39（11）:9599. WU Y K,BIAN X G.Experimental analysis of camera calibration in computer vision[J]. Electronic Measurement Technology, 2016, 39(11): 9599.
    [16]姜宏志,赵慧洁,梁宵月,等.基于极线校正的快速相位立体匹配[J].光学精密工程,2011,19（10）:25202524. JIANG H ZH, ZHAO H J, LIANG X Y, et al. Phasebased stereo matching using epipolar line rectification[J].Optics and Precision Engineering, 2011,19（10）:25202524.
    [17]王晶.野外大视场双目视觉坐标定位系统快速标定方法研究[D].天津：天津大学，2014. WANG J. Research on the fast calibration method for the large field measurement system[D].Tianjin:Tianjin University，2014.
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王鑫,王向军.靶场远程监测自动评估系统及弹落点定位研究[J].电子测量与仪器学报,2017,31(10):1667-1672

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