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A Method to Deal with Recognition Deviation Based on Trajectory Estimation in Real-Time Seam Tracking

机译:一种解决基于实时缝轨迹轨迹估计的识别偏差的方法

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摘要

In real time seam tracking process, recognition deviation is likely to occur due to various kinds of noise (e.g., reflection and scattering.......). In this paper, a method to correct deviation via replacing the deviation points with estimated points is proposed. Firstly, according to the characteristic of the real-time seam tracking process, standards for recognition deviation are developed to classify deviation points, and an abnormality judgment strategy is discussed. Then, a method of trajectory estimation is given and the detected trajectory of an abnormal deviation will be replaced with the estimated trajectory. Finally, experiments are conducted to prove the performance of the proposed method.
机译:在实时接缝跟踪过程中,由于各种噪声可能发生识别偏差(例如,反射和散射.......)。在本文中,提出了通过替换具有估计点的偏差点来校正偏差的方法。首先,根据实时缝线跟踪处理的特性,开发了用于对偏差点进行分类的标准,并且讨论了异常判断策略。然后,给出轨迹估计的方法,并且将用估计的轨迹替换异常偏差的检测到的异常偏差轨迹。最后,进行实验以证明该方法的性能。

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