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Volume 33 Issue 03
Mar.  2007
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Journal of Beijing University of Aeronautics and Astronautics  > 2007  >  33(03): 322-326.
Li Chao, Li Yunhua. High-accuracy measuring system for position and attitude in pushing-bridge construction based on machine vision[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(03): 322-326. (in Chinese)
Citation: Li Chao, Li Yunhua. High-accuracy measuring system for position and attitude in pushing-bridge construction based on machine vision[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(03): 322-326. (in Chinese)
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High-accuracy measuring system for position and attitude in pushing-bridge construction based on machine vision

  • School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 13 Mar 2006
  • Publish Date: 31 Mar 2007
    Abstract
  • The feature of the present measuring system for position and attitude in pushing-bridge construction was analyzed and the system’s primary problems were specified. Directed by all the problems and on-site requirements, a kind o f photoelectric measuring system composed of CCD sensors, laser collimator and i nclinometer was developed based on computer visual feedback. After the system’s mathematical model has been built, the hardware work station was finished. In t he process of software functional modules’ development, such key technologies a s video acquisition, image processing and the implementation of multiple serial ports’ communication were introduced in detail. Characterized by high accuracy, real-time, simple operation, convenient maintenance and low cost, the measuring system can substitute for the past manual measuring operation. Furthermore, the system’s implementation also provides new technology for the design of other l arge-scale construction’s measuring systems.

     

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  • [1] Andrea U, Paolo D G. A multirate d igital controller for nonholonomic mobile robot pose regulation via visual feedb ack[J]. WSEAS Transactions on Systems, 2006, 5(5):1129-1136 [2] 陈海初,李满天,张蕊华,等.基于视觉反馈的全自动微小型轮式机器人[J].哈尔滨工业大学学报,2006,38(3):348-349,483 Chen Haichu, Li Mantian, Zhang Ruihua, et al. Autonomous miniature wheele d robot based on visual feedback[J]. Journal of Har bin Institute of Technology, 2006, 38(3):348-349,483(in Chinese) [3] 凌云,王一鸣,孙明,等.基于机器视觉的大米外观品质检测装置[J].农业机械学报,2005,36(9):89-92 Ling Yun, Wang Yiming, Sun Ming, et al. A machine vision based instrument f or rice appearance quality[J]. Transactions of the Chinese Society of Agricultural Machinery, 2005, 36(9):89-92(in Chinese) [4] 崔屹.图像处理与分析——数学形态学方法及应用[M].北京:科学出版社, 2 000:42 Cui Yi. Image processing and analysis—method and application of mathematical morphology[M].Beijing:Science Press,2000:42(in Chi nese) [5] Intel Corporation. Intel image processing library reference manual [M]. USA:Intel Corporation, 2000:133-134
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