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Centimetre-range deformations of built environment revealed by drone-based photogrammetry
Abstract Deformation monitoring is an important component of the construction process and maintenance. Conventional point-wise surveying methods, however, tend to be time consuming, labour-intensive and may pose a risk to the surveyors. Instead, unmanned aerial vehicles in combination with structure-from-motion photogrammetry are now capable of high-accuracy contactless surveys. This study hence investigates road structure deformations identifiable by drone surveys from 40, 50 and 60 m flight altitudes. The surveys were georeferenced in 21 different ground control point configurations using integrated georeferencing. Comparisons between the resulting models and terrestrial laser scanning ground truth yielded the optimal configurations. The determined deformation estimates by using the optimal georeferencing configurations were validated using high-precise levelling results, which yielded the best deformation residual RMSE estimate of 0.29 cm for the 50 m altitude survey. These tests demonstrated that the proposed method can be employed for quick and contactless quantification of magnitude of built environment deformations.
Highlights Road structure deformations identifiable with unmanned aerial vehicles – drones. Sub-centimetre surface geometry accuracy achieved using photogrammetry. Redundant ground control points may degrade the accuracy of the modelled geometry. The optimal number of ground control points depends on the flight altitude. General methodology applicable to other infrastructure objects and buildings.
Centimetre-range deformations of built environment revealed by drone-based photogrammetry
Abstract Deformation monitoring is an important component of the construction process and maintenance. Conventional point-wise surveying methods, however, tend to be time consuming, labour-intensive and may pose a risk to the surveyors. Instead, unmanned aerial vehicles in combination with structure-from-motion photogrammetry are now capable of high-accuracy contactless surveys. This study hence investigates road structure deformations identifiable by drone surveys from 40, 50 and 60 m flight altitudes. The surveys were georeferenced in 21 different ground control point configurations using integrated georeferencing. Comparisons between the resulting models and terrestrial laser scanning ground truth yielded the optimal configurations. The determined deformation estimates by using the optimal georeferencing configurations were validated using high-precise levelling results, which yielded the best deformation residual RMSE estimate of 0.29 cm for the 50 m altitude survey. These tests demonstrated that the proposed method can be employed for quick and contactless quantification of magnitude of built environment deformations.
Highlights Road structure deformations identifiable with unmanned aerial vehicles – drones. Sub-centimetre surface geometry accuracy achieved using photogrammetry. Redundant ground control points may degrade the accuracy of the modelled geometry. The optimal number of ground control points depends on the flight altitude. General methodology applicable to other infrastructure objects and buildings.
Centimetre-range deformations of built environment revealed by drone-based photogrammetry
Varbla, Sander (author) / Ellmann, Artu (author) / Puust, Raido (author)
2021-05-24
Article (Journal)
Electronic Resource
English
Civil engineering , Deformation , Integrated georeferencing , RTK-GNSS , Structure-from-motion , UAV , 3D , three-dimensional , CORS , continuously operating reference station , GCP , ground control point , GNSS , global navigation satellite system , RMSE , root mean square error , real-time kinematic global navigation satellite system , TLS , terrestrial laser scanning , TS , total station , SfM , structure-from-motion , unmanned aerial vehicle
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