Abstract:

This paper suggests a new algorithm for LiDAR point cloud processing into raster images. The input is a point cloud file in a standard ASCII format, the outputs are orthographic projected points in a raster image, which can be used as a 3D modelling underlay. The CloudSlicer, a program powered by this algorithm, has been developed for validation purposes. The suggested algorithm has been successfully validated for more practical projects. This paper also shows some examples of practical uses. Such a method was firstly intended to be used as a foundation stone for production systems layout design, but the CloudSlicer software has been proven to be suitable as a general 3D modelling support tool.