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Development and Testing of Octree-Based Intra-Voxel Statistical Inference to Enable Real-Time Geotechnical Monitoring of Large-Scale Underground Spaces with Mobile Laser Scanning Data

Autor: Lukas Fahle, Andrew J. Petruska, Gabriel Walton, Jurgen F. Brune, Elizabeth A. Holley

Publikováno v: Remote Sensing, Vol 15, Iss 7, p 1764 (2023)

Convergence and rockmass failure are significant hazards to personnel and physical assets in underground tunnels, caverns, and mines. Mobile Laser Scanning Systems (MLS) can deliver large volumes of point cloud data at a high frequency and on a large

Externí odkaz: https://doaj.org/article/cf5aacfcab8d4e21b412a72710b0adcb

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Analysis of SLAM-Based Lidar Data Quality Metrics for Geotechnical Underground Monitoring

Autor: Lukas Fahle, Elizabeth A. Holley, Gabriel Walton, Andrew J. Petruska, Jurgen F. Brune

Publikováno v: Mining, Metallurgy & Exploration. 39:1939-1960

Adverse ground behavior events, such as convergence and ground falls, pose critical risks to underground mine safety and productivity. Today, monitoring of such failures is primarily conducted using legacy techniques with low spatial and temporal res

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c02ef02086c80f5a5ed96fc017786dc6
https://doi.org/10.1007/s42461-022-00664-3

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