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提出了一种可应用于变形监测的基于三维激光点云的隧道断面连续截取方法。该方法分为点云拼接、中轴线提取和断面截取。隧道中轴线的提取通过随机采样一致性算法和最小二乘平差算法完成;断面截取过程先基于隧道轴线信息调整隧道姿态,再对隧道数据采取局部曲面拟合进行,其中引用了限制最小二乘算法和随机采样一致性算法。采用RIEGL VE-400获取的地铁隧道点云数据进行了验证。实验证明了本文方法在三维激光扫描技术的应用方面具有一定的实践意义。
A new method of continuous interception of tunnel cross-sections based on 3D laser spot cloud, which can be applied to deformation monitoring, is proposed. The method is divided into point cloud splicing, central axis extraction and section interception. The extraction of the central axis of the tunnel is accomplished by the random sampling consistency algorithm and the least-squares adjustment algorithm. The section interception process first adjusts the tunnel attitude based on the tunnel axis information, and then adopts the local surface fitting to the tunnel data. The restricted least squares Algorithm and Random Sampling Consistency Algorithm. Subway tunnel point cloud data obtained using RIEGL VE-400 was verified. Experiments show that this method has some practical significance in the application of 3D laser scanning technology.