Drone-enabled bridge inspection methodology and application

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This paper focuses on evaluating the effectiveness of an unmanned aerial vehicle (UAV) as a supplementary bridge damage quantification
tool. For this study, a glued-laminated timber arch bridge in South Dakota was selected, and an UAV was utilized for the bridge damage
quantification. A recommended four-stage UAV-enabled bridge damage quantification protocol involving image quality assessment and
image-based damage quantification was developed. A field application using the UAV to measure crack lengths, thicknesses, and rust stain
areas of the selected bridge was conducted following the recommended protocol. The image quality parameters, including sharpness and entropy,
were used to determine the quality of the UAV-captured images. Pixel- and photogrammetry-based measurements using the high quality
images were obtained to quantify the bridge damage, and the damage was compared to that from actual field measurements. Once the
damage information was gathered, the UAV imagebased damage level classification was established based on the damage levels defined by
current standards. The findings confirmed the accuracy of the recommended protocol, with results within 3.5, 7.9, and 14.9% difference for
crack length, thickness, and rust stain area, respectively, when compared with the field measurements.

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