Abstract

Recently, LiDAR technology is considered as an useful tool for gathering data in a short time. Moreover, this indirect measurement can get a dense detail point cloud without damaging the object. For reducing the equipment cost, the low-cost single beam laser scanner Hokuyo UTM 30LX is used in this study for generating a 3D point cloud of a target object. The chosen target object in this study is a rock with non-uniform in shape. The scanner is mounted on a special aluminum frame with a railway and an adjustable speed motor. Many reflectance markers (GCPs) are stickled on the surface of the object for combining point clouds. For data collecting, the machine is set to travel in the vertical direction at a constant speed. To create the full 3D point cloud of the object, the system has been set up at different stations to obtain the whole image of the rock. After collecting data, a script is developed on R language to generate the point cloud from raw data. As a result, 6 point-clouds are generated. Basing on the marker positions, the generated point clouds are combined together using Cloud Compare application to make the full image of the rock. From this result, a mesh is generated for visualizing the 3D model of the rock. Some parts of the rock are missing because it is hidden by other objects. However, the 3D point cloud the object is generated with high density of points and its 3D model is visualized