Structural health monitoring and inspection of dams based on Unmanned Aerial Vehicles photogrammetry with image 3D reconstruction
Structural health monitoring and inspection of dams based on Unmanned Aerial Vehicles photogrammetry with image 3D reconstruction
The introduction of new technologies applied in unmanned aerial vehicles (UAV), to monitor civil engineering structures, substantially developed inspection techniques and deformation measurements in embankment dams. The use of UAV allows the acquisition of essential data on the behaviour of a structure, at a reduced cost. During a UAV flight, aerial photographs are recorded following a pre-defined route. They can be easily converted to orthophotos after processing. The quality of those orthophotos depends on many factors, namely, the photographs' quality (resolution, noise, distortion), their overlap, and the identification of enough control points, among other factors. To improve the accuracy of the orthophoto, and allow georeferencing, enough control points must be defined to allow for a high-quality orthophoto. Such control points, also called Ground Control Points (GCP), are positioned in situ with high-precision coordinates. Due to the great amount of aerial photographs recorded on each flight, it is essential to increase efficiency in GCPs identification in each photograph. This paper describes an open-source algorithm, developed by National Laboratory for Civil Engineering (LNEC) and NOVA University Lisbon, within the scope of a master's thesis, which automatically identifies GCPs and prepares data for processing in the WebODM platform.
J. Marcelino; Joao Manso; D. Leite; N. C. Marques; O. Freire
18th European Conference on Soil Mechanics and Geotechnical Engineering (ECSMGE2024)
C - Risk analysis and safety evaluation
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