This paper presents an approach adopted by the authors to designing a system used for creating a 3D model of road communication. Measurements of the environment have been executed using the mobile measurement platform that consists of two laser measurement systems (2D scanners), high accuracy position navigation (SPAN - Synchronized Position Attitude Navigation), in the future also a set of different sensors and 6 cameras. The laser scanner captures raw data of the environment and SPAN estimates the current position. The paper describes formulas designed to process the measured distance and position into the 3D coordinate system. Processed data creates a cloud of points where each scanned point is expressed by three space coordinates and reflectivity value as well. Scanned points are consequently classified into one of the groups of objects found in the road environment (walls, road surface, trees, vertical road signs) using the described method. The presented approach presupposes utilization of the point placement information and the reflectivity information to classify the measured points. The obtained results are compared to results obtained by a classification method working without considering reflectivity.
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