A Novel Projection Algorithm for Production Layout Extraction From Point Clouds

Abstract

The paper is focused on point cloud data processing obtained by 3D laser scanning. The scanning devices are at a very advanced level and after reaching their possible maximum scanning speeds, manufacturers are now more focused on a minimization of the devices. However, there is still a lack of software solutions for a simple and successful model creation from point cloud data or data evaluation. This paper briefly describes the laser scanning principle and the process of production floor layout capturing. Furthermore, a newly developed algorithm for an extraction of specific areas of point cloud is introduced. The algorithm was tested and compared with other solutions for a production layout development. After testing, the standalone software application called CloudSlicer™ was programed and the user interface is also presented.

Evaluation of Reflectance for Building Materials Classification With Terrestrial Laser Scanner Radiation

“…This DN, which represents the back scattered signal, is mainly a function of some important physical quantities, such as the direction of the light source with respect to the observed object, i.e., the direction of the incident energy, the distance from the object, the wavelength used, the surface reflectance, the thermo-hygrometric conditions of the electromagnetic wave propagation medium and the proximity of the affected object to other highly reflective bodies [10]. Return wave intensity measurements were mainly used to support the visual analysis of a point cloud and also for different applications, such as for orientation [11], recording [12], manual inspection of trees [13], rock face investigation [14] or classification based on the surface material properties [15,16].…”