PSI - Issue 62

Matteo Castellani et al. / Procedia Structural Integrity 62 (2024) 193–200 Matteo Castellani / Structural Integrity Procedia 00 (2019) 000 – 000

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advantageous in supporting the presented methodology. In Figure 5 and Figure 6, the point clouds obtained from the photogrammetric process are depicted. Of particular interest is the drone's ability to survey the road surface without the need for vehicular traffic closure.

Fig. 5. Point cloud obtained from UAV photogrammetry process.

Fig. 6. Point cloud obtained from UAV photogrammetry process.

4.2. Terrestrial Laser Scanner process

For carrying out the survey operations with the Laser Scanner, the Leyca RTC 360 instrument was employed. Thanks to its maneuverability, the laser enabled the completion of the survey phases in a rapid manner. Adhering to the square grid, as described in Section 2.2, a total of 16 scans were performed for the three considered spans. The scans were conducted in Low quality mode to reduce field time. Subsequently, during the data post-processing phase, the mesh of scans was densified, and connections between them were established. The overall point cloud is illustrated in Figure 7, comprising a total of 78,712,564 points. 5. Results Thanks to the open-source software Cloud Compare, it was possible to align the two-point clouds. The alignment process was achieved by establishing key reference points common to both point clouds, allowing for a translation process of the clouds themselves.