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Study and Implementation on Rail Profile Alignment Algorithm Based on 3D Scanning Data

机译:基于3D扫描数据的轨道轮廓线对准算法的研究与实现

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The three dimensional (3D) point cloud model and its 2D cross section profile of a 60kg/m rail were obtained by a 3D scanner. But, it's inaccurate to calculate rail wear with the 2D cross section profile directly which may has a certain inclination along the vertical center line of the rail because the 2D profile was sampled from the random point cloud. The algorithms for aligning the extracted profile from the 3D point cloud model by rotating the field side rail web curve, and parallel shifting the same side rail base line was presented. The results show a good effect comparing the standard profile with the precision less than 0.1mm. Detail implementation of the algorithm was put forward by MATLAB and its feasibility and stability were verified.
机译:通过3D扫描仪获得了60kg / m轨道的三维(3D)点云模型及其2D横截面轮廓。但是,直接使用2D横截面轮廓来计算轨道磨损是不准确的,因为2D轮廓是从随机点云中采样的,所以该截面可能沿轨道的垂直中心线有一定的倾斜度。提出了通过旋转现场侧轨腹板曲线并平行移动同一侧轨基准线来对齐从3D点云模型中提取的轮廓的算法。结果表明,与标准型材相比,精度小于0.1mm效果良好。用MATLAB对该算法进行了详细的实现,验证了该算法的可行性和稳定性。

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