Evaluation of SLAM-Based Mobile LiDAR Workflows and Data Quality for Mine-Wide Underground Geotechnical Monitoring
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2021/06/18
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Description:Adverse ground behavior is a hazard to both personnel and non-human assets in any underground mine. Traditional visual inspections and embedded or static instruments are not well-suited for mine-wide digital data collection and geotechnical monitoring. This paper investigates emerging Simultaneous Localization and Mapping (SLAM)-based Light Detection and Ranging (LiDAR) scanning as a mobile remote sensing technology that can efficiently enable collection of mine-scale digital data. Based on experiments in two underground mines using two state-of-the-art mobile mapping systems (MMS), the authors describe collection and processing workflows. The authors then analyze the results on a target- and site-level to highlight the differences, limitations, and benefits of MMS data versus traditional static LiDAR scanning data. The investigated quality metrics include visual data quality, accuracy (trueness and precision), coverage, density, and SLAM-drift. The paper concludes with a discussion of workflows and data quality in the context of mine-wide geotechnical monitoring and gives recommendations for future research efforts. [Description provided by NIOSH]
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NIOSHTIC Number:nn:20067966
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Citation:55th US Rock Mechanics/Geomechanics Symposium, June 18-25, 2021, Houston, Texas, virtual event. Alexandria, VA: American Rock Mechanics Association (ARMA), 2021 Jun; :ARMA-2021-2076
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Federal Fiscal Year:2021
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Performing Organization:Colorado School of Mines, Golden
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Peer Reviewed:False
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Start Date:20160915
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Source Full Name:55th US Rock Mechanics/Geomechanics Symposium, June 18-25, 2021, Houston, Texas, virtual event
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End Date:20210914
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Main Document Checksum:urn:sha-512:80ba20509cbf6f028035bbc31c2cb67256697a842f5c59d38fd4c219911cb32a1cdf0e30a39af0be1d9cb285ed35d63fdf483e954779d76ebcf8555a648d7234
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