Atlas / Learn / Papers / 524e3a59261aa2e81fa22af12dcd9dfeb14ccca4
Semantic Scholar · Article (Italian National Conference on Sensors)
SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles
Attribution
This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Italian National Conference on Sensors.
Abstract
Verbatim from Semantic Scholar. Not paraphrased, not summarized.
The development of unmanned aerial vehicles (UAVs) is expected to become one of the most commercialized research areas in the world over the next decade. Globally, unmanned aircraft have been increasingly used for safety surveillance in the construction industry and civil engineering fields. This paper presents an aerial image-based approach using UAVs to inspect cracks and deformations in buildings. A state-of-the-art safety evaluation method termed SMART SKY EYE (Smart building safety assessment system using UAV) is introduced; this system utilizes an unmanned airplane equipped with a thermal camera and programmed with various surveying efficiency improvement methods, such as thermography, machine-learning algorithms, and 3D point cloud modeling. Using this method, crack maps, crack depths, and the deformations of structures can be obtained. Error rates are compared between the proposed and conventional methods.
Authors
- Jaehoon Bae
- Jong-Hyock Lee
- Arum Jang
- Young K. Ju
- M. Park
Keywords
- Computer Science
- Medicine
- Engineering
- Environmental Science
Citation: Jaehoon Bae, Jong-Hyock Lee, Arum Jang , et al. (2022). SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles. Italian National Conference on Sensors. Semantic Scholar ID 524e3a59261aa2e81fa22af12dcd9dfeb14ccca4. https://doi.org/10.3390/s22072762 ↗