UAV-based inspection of the Brighton Dam through 3D image-based modelling
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A new robotic inspection method using camera-equipped UAVs was developed and tested
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A complex and large-scale gravity dam was chosen as a test site for the developed methodology
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Utilizing both fixed wing and multi-rotor UAV platforms to capture 2D image dataset of different parts of the dam
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More than 2 thousand images were captured through multiple UAVs and later used in the image-based 3D reconstruction
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The end product was a highly detailed dense 3D point cloud model with more than 2 billion points
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The combination of different stand-off distances and image resolutions in a multi-scale camera network improved the overall accuracy of the 3D model
Related Publications
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Khaloo, A., Lattanzi, D., Jachimowicz, A., & Devaney, C. (2018). "Utilizing UAV and 3D Computer Vision for Visual Inspection of a Large Gravity Dam." Frontiers in Built Environment, 4, 31.
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Khaloo, A., and Lattanzi, D. (2017) "Integrating 3D Computer Vision and Robotic Infrastructure Inspection" 11th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, September 2017.
