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

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

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 scale. However, current change detection approach...

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Bibliographic Details
Main Authors: Lukas Fahle, Andrew J. Petruska, Gabriel Walton, Jurgen F. Brune, Elizabeth A. Holley
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
mobile laser scanning
geotechnical monitoring
octree data structures
change detection
statistical inference
real-time computation
Online Access:https://www.mdpi.com/2072-4292/15/7/1764

Internet

https://www.mdpi.com/2072-4292/15/7/1764

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