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Reactive UAV-based automatic tunnel surface defect inspection with a field test.
- Source :
-
Automation in Construction . Jul2024, Vol. 163, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This work addresses the problem of automatic tunnel surface defect inspection using unmanned aerial vehicles (UAVs). The research aims at proposing a robust and efficient monitoring method for image data acquisition and processing in complex and dark tunnel environments. A method, called Proximity Move-Pause-Photo for Surface Defect Inspection (PMPP-SDI), is proposed by combining reactive flying control strategies with a grid scanning pattern to capture high-quality image data from multiple views and angles. The image data is then used to generate a 3D point cloud model of the tunnel surface for structural condition assessment. The method is tested in a field experiment in a railway tunnel in Ireland, and the results show that it can achieve stable navigation, high-resolution reconstruction, and accurate defect detection. The paper discusses the advantages and limitations of the method, and suggests improving the control/navigation intelligence, data quality, and defect analysis as the future research directions. • Reactive strategy for adaptative UAV navigation in tunnels. • UAV 3D close-range surface data acquisition. • Method validation and tunnel defect analysis. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RAILROAD tunnels
*SURFACE defects
*TUNNELS
*FLY control
*FIELD research
*POINT cloud
Subjects
Details
- Language :
- English
- ISSN :
- 09265805
- Volume :
- 163
- Database :
- Academic Search Index
- Journal :
- Automation in Construction
- Publication Type :
- Academic Journal
- Accession number :
- 177198285
- Full Text :
- https://doi.org/10.1016/j.autcon.2024.105424