三次元レーザ計測計画における点密度指標の適用

抄録

In this study, we are developing a method for automatically calculating the next measurement point in order to obtain the shape of the entire object closely in 3D laser measurement. The proposed method is to obtain the whole object high densely by focusing on the low-density part of the point cloud. The next points to be measured are calculated by calculating the relative densities of the points that can be obtained from the distance to the object and the angle of incidence of the laser. In this paper, we show the index which is considered as high density in the field of surveying, and the result of applying the index to a 3D model by simulating the measurement with LiDAR.