United States Department of Transportation
i
A Streamlined Bridge Inspection Framework Utilizing Unmanned Aerial Vehicles (UAVs)
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2021-12-01
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[PDF-2.31 MB]
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Edition:Final Report
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Abstract:Recently, the rapid development of commercial unmanned aerial vehicles (UAVs) has made collecting images of bridge conditions trivial. Measuring a defect’s extent, growth, and location from the collected big image set, however, can be cumbersome. This paper proposes a streamlined bridge inspection system that offers advanced data analytics tools to automatically: (1) identify type, extent, growth, and 3-D location of defects using computer vision techniques; (2) generate a 3-D point cloud model and segment structural elements using human-in-the-loop machine learning; and (3) establish a georeferenced elementwise as-built bridge information model to document and visualize damage information. This system allows bridge managers to better leverage UAV technologies in bridge inspection and conveniently monitor the health of a bridge through quantifying and visualizing the progression of damage for each structural element. The efficacy of the system is demonstrated using two bridges.
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