Mining Goes Digital 2019
DOI: 10.1201/9780429320774-78
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High-resolution modeling of open-pit slopes using UAV and photogrammetry

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Cited by 6 publications
(4 citation statements)
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“…In surface mining applications, the generation of 3D reconstructions primarily relies on point clouds derived from a mix of various RGB cameras (monocular, binocular, stereo), laser scanners, or a hybrid approach [62,63]. Several methodologies contribute to creating point clouds with 3D measurements, including multiview stereo (MVS) vision, structure from motion (SFM), simultaneous localization and mapping (SLAM), and single image depth estimation.…”
Section: D Reconstruction In Surface Minesmentioning
confidence: 99%
“…In surface mining applications, the generation of 3D reconstructions primarily relies on point clouds derived from a mix of various RGB cameras (monocular, binocular, stereo), laser scanners, or a hybrid approach [62,63]. Several methodologies contribute to creating point clouds with 3D measurements, including multiview stereo (MVS) vision, structure from motion (SFM), simultaneous localization and mapping (SLAM), and single image depth estimation.…”
Section: D Reconstruction In Surface Minesmentioning
confidence: 99%
“…As a result of the experiments, it was determined that the mobility of the light-class quadrotor was limited compared to the middle-class quadrotor, independent of ground speed and remaining battery energy. Battulwar et al (2019) made a route plan and optimization using the Da-Jiang innovations Mavic pro quadrotor, which is sold-ready in the market. While doing this, they conducted studies on battery consumption at different wind speeds.…”
Section: Introductionmentioning
confidence: 99%
“…Battulwar et al (2019) made a route plan and optimization using the Da-Jiang innovations Mavic pro quadrotor, which is sold-ready in the market. While doing this, they conducted studies on battery consumption at different wind speeds.…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, the Mining Automation Lab at the University of Nevada, Reno conducted a project (supported by the National Institute for Occupational Safety and Health, NIOSH) to use UAVs for high-resolution imaging and to develop state-of-the-art machine learning techniques for automated identification and characterization of cracks. The technology can be used as an early-warning system that alerts geotechnical engineers about the location of new cracks, and subsequently the potential for related failures so that necessary safety steps can be executed to avoid them [10].…”
Section: Introductionmentioning
confidence: 99%