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A calibration algorithm of the structured light vision for the arc welding robot

机译:弧焊机器人结构光视觉的标定算法

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摘要

Structured light vision is now widely used in weld seam detection for arc welding robot due to its simple structure, high precision, low cost, and real-time characteristic. By taking use of optical triangulation measurement principle, the position of welding seam is able to be measured. Calibration is one of the crucial step before structured light vision can be actually used in the welding system. In this paper, a calibration algorithm of the camera and laser is deduced mathematically, which involves the calibration algorithm of intrinsic parameters, extrinsic parameters of the camera and the calibration algorithm of laser plane equation which respect to the camera coordinate system. A structured light vision system is implemented, consists of a CCD camera a linear structure laser and a calibration chessboard, to verify the validity and practicality of the algorithm. By measured the standard object, the experiment results are carried out and the measurement error are analyzed. The experiment results show that the calibration algorithm is able to meet the demands of accuracy for arc welding robot.
机译:结构化光学视觉由于其结构简单,精度高,成本低和实时性高等优点,现已广泛用于电弧焊机器人焊缝检测中。利用光学三角测量原理,可以测量焊缝的位置。在结构化视觉系统可以实际用于焊接系统之前,校准是关键步骤之一。本文从数学角度推导了相机和激光器的标定算法,该算法包括相机固有参数,外部参数的标定算法以及与相机坐标系有关的激光平面方程的标定算法。实现了一种结构化的视觉系统,该系统由CCD摄像机,线性结构激光器和校准棋盘组成,以验证该算法的有效性和实用性。通过测量标准物,进行实验结果并分析测量误差。实验结果表明,该标定算法能够满足弧焊机器人精度要求。

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