Noise-resistant extraction of tunnel excavation axis under point cloud density feature constraints
The original point cloud data of the tunnel acquired by 3D laser scanner often contains a lot of irrelevant points,which has a great impact on the extraction of tunnel axis,and at the same time,it is difficult to meet the real-time demand for on-site construction.For the above problems,an efficient and automatic method is proposed to extract tunnel axis by taking the density characteristics into consideration.Firstly,the density characteristics of the tunnel point cloud are counted,and different constraint coefficients are generated based on the different density of the point cloud region,and the constraint coefficients are used as the basis for the selection of the axial fitting points;after the top-view projection and the RANSAC processing,the central axis of the projected plane is obtained;after the side-view projection,the location of the vault is obtained,and based on that,the central axis is adjusted to the center of the tunnel;and the central axis is adjusted to the center of the tunnel by using the RANSAC linear fitting is used again to realize the prediction of the axis of the different zones.The results show that according to the density characteristics of the tunnel point cloud in the specified area,the method can quickly and accurately extract the axes in the tunnel point cloud with a lot of noise,and it is applicable to excavated tunnels in different zones with good adaptability.
tunnel laser point cloudpoint cloud densityexcavation axisanti-noiseRANSAC
万方数据
维普
