Enhancing geological engineering tools using machine learning. (IMAGE)
Caption
Researchers developed a methodology that autonomously filters unnecessary data from 3D point clouds of rock faces to accurately determine dip angles and directions-critical parameters in geological and structural engineering.
Credit
Hyungjoon Seo from the Seoul National University of Science and Technology
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