Close-range photogrammetry in underground mining ground control

Benton, Donovan J.; Chambers, Amy J.; Raffaldi, M. J.; Finley, Seth A.; Powers, Mark J.

doi:10.1117/12.2236691

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Also, it is used in topography and landslide measurements [1], monitoring slope displacement [5], buildings and structures deformation monitoring [13], and traffic accident management [14]. Moreover, digital close-range photogrammetry is widely used in industry [15,16,17,18,19], archaeology [20], architectural and cultural heritage documentation [21,22], agriculture [23], mineralogy [24], and clinical and medical applications [25].…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Hadi¹,

Khalaf²

2022

ETJ

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 Determination of real scale model coordinates.  Determination of camera interior orientation parameters (IOPs).  Determination of camera exterior orientation parameters (EOPs).  The bundle block adjustment method (BBA) is used in photogrammetric processing based on the collinearity equation.  Assessment of results through statistical analysis showed a reliable accuracy where the overall accuracy of work is 5 mm.Three-dimensional (3D) real-scale models delivered from digital photogrammetric techniques have rapidly increased to meet the requirements of many applications in different fields of daily life. This paper deals with establishing a 3D real-scale model from a block of images (18 images) captured using a Canon EOS 500D digital camera to cover a test field area consisting of 90 artificial target points, 25 of which are ground control points (GCPs). At the same time, the remains are checkpoints (CPs). The analytical photogrammetric processes, including the calculation of interior orientation parameters (IOPs) of the camera during the camera calibration process and exterior orientation parameters (EOPs) of the camera in each capture. The model's object space (ground) coordinates are calculated simultaneously based on the collinearity equation using the bundle block adjustment method (BBA). Assessment and validation of the accuracy of the results is an important task in this study that was implemented to determine and analyze the errors of 3D coordinates through linear regression analysis (LRA). Root mean square error (RMSE) is the statistical parameter used in the statistical analysis of results. The standard error is another statistical parameter used to evaluate the accuracy of camera locations and rotation angles (EOPs). The total RMSE (RMSE) xyz of GCPs is ± 2.530 mm, while the total RMSE (RMSExyz) of CPs is ± 2.740 mm. The overall accuracy of the work is 5.000 mm.

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Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Hadi¹,

Khalaf²

2022

ETJ

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

Fahle

Holley

Walton

et al. 2022

Mining, Metallurgy & Exploration

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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 resolution while exposing workers to hazardous environments. This study assesses the potential of novel simultaneous localization and mapping (SLAM)-based light detection and ranging (Lidar) data quality for rapid, digital, and eventually autonomous mine-wide underground geotechnical monitoring. We derive a comprehensive suite of quality metrics based on tests in two underground mines for two state-of-the-art mobile laser scanning (MLS) systems. Our results provide evidence that SLAM-based MLS provides data of the quality required to detect geotechnically relevant changes while being significantly more efficient for large mine layouts when compared to traditional static systems. Additionally, we show that SLAM-specific processing can achieve an order of magnitude better relative accuracy relevant for change detection than quality metrics derived from traditionally deployed tests would suggest while reducing SLAM drift error by up to 90%. In collaboration with an operating block cave mine, we confirm these capabilities in field tests on a mine-wide scale and, for the first time, demonstrate methods of rockfall detection using MLS data. While more work is required to investigate optimal collection, processing, and utilization of MLS data, we demonstrate its potential to become an effective and widely applicable data source for rapid, accurate, and comprehensive geotechnical inspections.

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A review of laser scanning for geological and geotechnical applications in underground mining

Singh

Banerjee

Raval

2023

International Journal of Mining Science and Technology

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Close-range photogrammetry in underground mining ground control

Cited by 5 publications

References 8 publications

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

Accuracy Assessment of Establishing 3D Real Scale Model in Close-Range Photogrammetry with Digital Camera

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

A review of laser scanning for geological and geotechnical applications in underground mining

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