Author
Wells, Jennifer; and Barritt Lovelace
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The Minnesota Department of Transportation (MnDOT) is utilizing drones to collect and process large amounts of data during bridge inspections with the goal of improving the quality of bridge inspections and improving safety for both inspectors and the traveling public.

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The Minnesota Department of Transportation (MnDOT) is utilizing drones to collect and process large amounts of data during bridge inspections with the goal of improving the quality of bridge inspections and improving safety for both inspectors and the traveling public.

Inspection specific drone technology is maturing, and several models now exist that serve the inspection and asset management industry. These drones include features important to bridge inspection such as sense and avoid, infrared imaging, autonomous flights, and collision-tolerant features. When processed with modeling software, high-quality images can be collected and processed into high-quality inspection data such as point clouds, 3D photologs, and orthoplane images that can be processed by software into multiple formats that can easily be shared via the Cloud.

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Publisher
Minnesota Department of Transportation
Result Type
Source ID
1990
Title
Utilizing UAS and Reality Modeling to Improve Bridge Inspection Result
UNID
9F36F140FAC0D7D7852583E00049F000
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