Szczegóły publikacji
Opis bibliograficzny
Analysis of geometric and radiometric factors affecting measurement results of civil engineering structures with different scanning drone types / Grzegorz LENDA, Urszula MARMOL, Natalia BOROWIEC, Andrzej UZNAŃSKI // Measurement ; ISSN 0263-2241 . — 2026 — vol. 258 pt. E art. no. 119503, s. 1–21. — Bibliogr. s. 20–21, Abstr. — Publikacja dostępna online od: 2025-10-30
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 164526 |
|---|---|
| Data dodania do BaDAP | 2025-12-04 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.measurement.2025.119503 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Measurement |
Abstract
Laser scanning using unmanned aerial vehicles (UAVs) offers new possibilities for accessing building structures, which can be useful for inventory, modeling, and safety assessment tasks. This measurement method still requires accuracy studies for detailed and precise shape determination of different infrastructures. This article presents the results of accuracy analyses for four scanning systems representing different levels of technological advancement in their component subsystems. Measurements were carried out in a test field containing various building and infrastructure objects. The study involved analyses related to geometric and radiometric factors affecting measurement results for different types of objects. Geometric factors included both the geometry of the laser spot and the geometry of characteristic elements of the scanned object. Tests were conducted on flat, truss, surface-oriented, curved, and slit objects. Radiometric factors were related to the response of the emitted laser beam after reflection from surfaces with different properties (material, color, structure). The main comparison tool was surface deviation charts, which show their value, location and scattering. Among the tested units, only one scanner, the AlphaAir 10, provided results that allowed for potential shape analysis of building objects. The next scanner, the Zenmuse L2, provided similar results, but only at low flight heights. The remaining scanners delivered results with high measurement noise, causing deterioration in detail recognition. The study illustrates a methodology for testing UAV scanners, involving the diverse scenarios, enables the identification of limitations of UAV systems and the determination of key parameters, that affect the reliability of data for engineering applications.
