Abstract：For deformation monitoring of railway slopes, three-dimensional laser scanners are used for data acquisition and voxelization. The seed growth method is used to classify the voxelized data, and its spatial parameters are fitted. By observing the distance between the point cloud data and the fitting plane of the target data classification result, the specific value of the slope deformation is obtained. Using Kalman filter to analyze multi-period data, the rate and acceleration of slope deformation is obtained, and the deformation of slope is predicted.
