Journal article
Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation
Journal of infrastructure systems, v 21(3)
01 Sep 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
AbstractUnmanned aerial vehicles (UAVs) allow remote imaging which can be useful in infrastructure condition evaluation. Furthermore, emerging noncontact sensing techniques such as digital imaging correlation (DIC) and other photogrammetric and visual approaches, including simultaneous localization and mapping (SLAM), can compute three-dimensional (3D) coordinates and perform deformation measurements as in the case of DIC/photogrammetry. A quantitative assessment of ways remote sensing in conjunction with UAVs could be implemented in practical applications is critically needed to leverage such capabilities in structural health monitoring (SHM). A comparative investigation of the remote sensing capabilities of a commercially availabl’e UAV, as well as both an optical metrology system known by the acronym TRITOP and the X-Box Kinect, is presented in this paper. The evidence provided demonstrates that red-green-blue cameras on UAVs could detect, from varying distances, cracks of sizes comparable to those currently sought in visual inspections. In addition, mechanical tests were performed on representative bridge structural components to attempt, for the first time to the writers’ best knowledge, deformation measurements using an aerial vehicle; displacements and corresponding accuracies were quantified in static and flying conditions. Finally, an outdoor feasibility test with the UAV was accomplished on a pedestrian bridge to test the marker identification algorithm.
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Details
- Title
- Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation
- Creators
- A Ellenberg - Drexel UniversityL Branco - Drexel UniversityA Krick - Drexel UniversityI Bartoli - Drexel UniversityA Kontsos - Drexel University
- Publication Details
- Journal of infrastructure systems, v 21(3)
- Publisher
- American Society of Civil Engineers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000359722200012
- Scopus ID
- 2-s2.0-84939160729
- Other Identifier
- 991019168193004721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil