Abstract
In recent decade, use of terrestrial laser scanners (TLS) are rapidly grew up for reconstruction of environment, buildings, and various objects in different applications. Though, TLS is capable to rapidly acquire a huge volume of 3D point clouds, it involves with several problems such as non-selective sampling, shadows and occluded areas, variable point density due to different object surface distance and orientation, dependency of laser signal gain and so measurement noise to surface material, roughness, color, temperature and moisture. These problems cause to not anybody able to prepare a perfect observational plan before filed measurement, in order to acquire a complete and high quality raw data by this expensive equipment in the field. The observational plan means network design which is optimal determination of TLS stations and required targets. In this paper, general idea of TLS network design is presented on a 2D simulated data. The result demonstrates it is possible to implement the idea of automatic TLS network design using artificial intelligent tools.
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