The automatic detection of cracks in the road surface is great significance for maintaining to ensure safety moving vehicles. Hokuyo UTM 30 LX 2D laser scanner this study used observe containing two and distress areas. As a result, dense point clouds are created. automatically extracted from based on geometry curb lines. normal vector points calculated principal component analysis method. Point...

Calculating the complex 3D traits of trees such as branch structure using drones/unmanned aerial vehicles (UAVs) with onboard RGB cameras is challenging because extracting skeletons from image-generated sparse point clouds remains difficult. This paper proposes a skeleton extraction algorithm for cloud generated by UAV images photogrammetry. We conducted comparison experiment flying two altitud...

Existing approaches that extract buildings from point cloud data do not select the appropriate neighbourhood for estimation of normals on individual points. However, success these depends correct normal vector. In most cases, a fixed is selected without considering geometric structure object and distribution input cloud. Thus, heterogeneous cloud, this paper proposes new effective approach sele...

Lidar (Light detection and ranging) is a popularly used technology to collect dense and precise data of topographic structures of the surface of the earth. In this paper, we have proposed a user assisted remote visualization system for extraction and visualization of structural features obtained from point cloud data obtained from lidar data. The sharp feature lines such as crest lines, edges o...