This master's thesis presents a comparison between terrestrial and handheld laser scanners. The selected scanning site was the Legi Kamen cycling tunnel, which, due to its complexity, provided a suitable environment for conducting the research. The aim of the thesis was to test various scanners and determine which are most appropriate for specific tasks. The objective was to assess the deviations between point clouds generated by different scanners and evaluate their accuracy in tunnel scanning. The thesis describes the geodetic network used for georeferencing and point cloud adjustment. The instrumentation, measurement and adjustment procedures, and the evaluation of final results are presented. The scanning process is also described, along with the methods used for comparing point clouds and the analysis of the results. The thesis introduces point cloud comparison methods such as C2C (Cloud-to-Cloud), C2M (Cloud-to-Mesh), and M3C2 (Multiscale Model-to-Model Cloud Comparison). The results of the study showed that the most accurate scanner was the Leica RTC360. Although handheld laser scanners are faster and more practical to use, they provide less accurate results. Therefore, they are more suitable for visualization purposes, while terrestrial laser scanners are more appropriate for geodetic tasks such as monitoring and the creation of geodetic plans. These scanners offer not only higher accuracy but also greater point density, which is crucial for high-quality data processing. With handheld scanners, problems arise already during target scanning, which negatively affects the georeferencing of point clouds. Additionally, it was found that handheld scanners using SLAM technology, without supplementary measurement systems, are unsuitable for scanning tunnels and open spaces. In such environments, they often lose orientation, making it impossible to obtain reliable and accurate results.
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