A spherical targets fitting method for terrestrial laser scanning data

Jia Li, De-hua Zheng, Qiuping Lan, Qin Liu
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Abstract

The dominating measurement error of Terrestrial Laser Scanner comes from laser ranging, which is also the major cause of "tailing points" appearing at the edge of targets scanned by coaxial laser scanner. Since the existence of such abnormal points, general least squares sphere fitting method cannot correctly position spherical targets or determine the dimension of geometries. Base on the working mechanism of coaxial laser scanner, a surface fitting model is designed in this paper for the spherical targets, and utilize robust least squares method to get model parameters from scanning data with obvious edge noise, then conclude the sphere radius and centre point coordinate. In the end, this paper accomplishes two experiments separately for really scanning data and synthesized data subjecting to scanner's error distribution. The result demonstrates that proposed fitting method can weaken the impact of abnormal points on the edge of spherical targets effectively, get geometric parameters of spherical targets accurately, and exactly locate the spherical targets.
地面激光扫描数据球面目标拟合方法
激光测距是地面激光扫描仪测量误差的主要来源,也是同轴激光扫描仪扫描目标边缘出现“尾点”的主要原因。由于这些异常点的存在,一般的最小二乘球面拟合方法不能正确定位球面目标或确定几何形状的尺寸。根据同轴激光扫描器的工作机理,设计了球面目标的曲面拟合模型,利用鲁棒最小二乘法从具有明显边缘噪声的扫描数据中获取模型参数,得到球面半径和中心点坐标。最后,根据扫描仪的误差分布,分别对真实扫描数据和合成数据进行了实验。结果表明,所提出的拟合方法能有效地减弱异常点对球面目标边缘的影响,准确地获取球面目标的几何参数,实现对球面目标的精确定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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