DOT regulations require the monitoring of encroachments upon gas transmission pipelines, which is a manual, time-consuming, and costly process.
Utilizing multiple 3D point cloud imagery sets from aerial photographs (photogrammetry) the automatic detection of both change and features of encroachment is possible.
Highly accurate machine learning methodology reduces the time and cost required to ensure public safety.
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