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基于计算机视觉的塔机垂直度实时检测算法 被引量:2

A Real Time Monitoring Algorithm Based on Computer Vision for Perpendicularity of Tower Crane
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摘要 采用计算机视觉技术,结合塔机的高级语义信息,提出了一种新的塔机垂直度检测算法。首先依据图像中的消隐点计算摄像机内参数;其次计算塔身理论轴心线;最后根据塔身理论轴心线与实际轴心线的值计算塔机垂直度。通过MATLAB仿真数据验证了基于计算机视觉的垂直度检测算法,实验表明:采用计算机视觉进行塔基垂直度测量是一种安全、高效的测量方法。 A new tower crane perpendicularity detection algorithm is proposed in this paper,which is based on computer vision technology,combined with high-level semantic information of the tower crane.Firstly,the inner camera parameter is computed according to the vanishing points in the image,and then the tower axis line is calculated in theory.The perpendicularity is achieved according to the theoretical verticality of tower axis line and the actual center line value.The algorithm is verified through the MATLAB experiment,and the result shows that the perpendicularity detection algorithm based on computer vision is a safe,efficient measurement method.
出处 《机械工程与自动化》 2016年第6期162-164,共3页 Mechanical Engineering & Automation
关键词 塔机 计算机视觉 检测算法 tower crane computer vision detection algorithm
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  • 1刘宏建,罗毅,刘允才.可变精度的神经网络摄像机标定法[J].光学精密工程,2004,12(4):443-448. 被引量:13
  • 2杨树青,蓝江源.塔式起重机垂直度检测方法的改进[J].起重运输机械,2005(4):67-68. 被引量:5
  • 3韩宏,吴嘉澍.基于加速度计的数字式倾角仪的设计[J].传感器技术,2005,24(4):48-50. 被引量:17
  • 4李为民,俞巧云,刘超.采用分离式差分标定靶的单摄像机标定方法[J].光学学报,2006,26(5):697-701. 被引量:26
  • 5Roger Y. Tsai. A versatile camera calibration technique for high- accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J]. IEEE J. Robot. Autom. , 1987, 3(4): 323-344.
  • 6O. D. Faugeras, Q. T. Luong, S. J. Maybank. Camera sell calibration: theory and experiments[C]. Proc. the 2nd European Conference on Computer Vision Berlin: Springer, 1992, 588:321-334.
  • 7S. Maybank, O. D. Faugeras. A theory of self-calibration of a moving camera[J]. Int. J. Comput. Vision, 1992, 8(2): 123-151.
  • 8R. Hartley. Self-calibration of stationary cameras[J]. Int. J. Cornput. Vision, 1997, 22(1): 5-23.
  • 9Songde Ma. A self-calibration technique for active vision systems [J]. IEEE T. Robot. Aurora. , 1996, 12(1): 114-120.
  • 10X. Q. Meng, H. Li, Z. Y. Hu. A new easy camera calibration technique based on circular ooints[C]. Proc. the British Machine Vision Conference, Bristol: ILES Central Press, 2000, 496- 501.

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