☆ 4.7 Review

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

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2023)

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Article Mining & Mineral Processing

Machine learning-based classification of rock discontinuity trace: SMOTE oversampling integrated with GBT ensemble learning

Jiayao Chen et al.

Summary: This paper proposes a hybrid ensemble classifier that combines SMOTE, RS hyper-parameters optimization algorithm, and GBT for efficient and accurate rock trace identification. A thirteen-dimensional database is established from image samples to classify data points as trace or non-trace. Experimental results show that the proposed classifier outperforms other classifiers for both trace and non-trace classifications. Discussions on feature importance, generalization ability, and classification error are conducted.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2022)

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Article Energy & Fuels

Industry Survey on the Current State of Stope Design Methods in the Underground Mining Sector

Mateusz Janiszewski et al.

Summary: This study analyzes the current state-of-the-art of stope design and finds that the dominance of empirical methods in stope design research is slowly shifting towards numerical methods. The survey results show that there is no single dominant stope design method globally, and empirical methods and personal expertise are still widely used. However, 87% of the respondents indicate a readiness for change in stope design practice.

ENERGIES (2022)

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Article Engineering, Geological

Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data

Sarvesh Kumar Singh et al.

Summary: This study proposes a new automated algorithm that captures unique signatures in the form of sinusoidal waves to effectively characterise rock mass structural discontinuities. The developed approach demonstrated the least error in estimating mean discontinuity dip angle and dip direction.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2022)

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Article Engineering, Civil

Advancements in underground mine surveys by using SLAM-enabled handheld laser scanners

Artu Ellmann et al.

Summary: The study assesses the applicability of SLAM technology for mine surveys and 3D modelling, finding that SLAM-enabled laser scanning is the most suitable method for underground mining surveys.

SURVEY REVIEW (2022)

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Article Construction & Building Technology

Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling

Zhaolin Yuan et al.

Summary: Cemented paste backfilling is an effective method for processing waste tailings and underground goafs. However, there is a lack of devices or techniques for accurately monitoring the real-time backfilling process in harsh underground environments. This study proposes a 3D visualization and soft-sensing system that estimates the backfilling height in real-time using a laser scanner and simulates the process on web pages. The developed system and technique provide significant guidance for production management in underground backfilling.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2022)

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Article Robotics

What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles

Adam Jacobson et al.

Summary: This paper presents a novel multisensor localization method for vehicles in underground mines, which significantly increases accuracy and offers a new solution for positioning systems in autonomous vehicles deployed in underground mine environments.

JOURNAL OF FIELD ROBOTICS (2021)

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Article Mining & Mineral Processing

Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images

Heonmoo Kim et al.

Summary: This study utilized a machine vision-based technique to estimate the location of an autonomous driving robot and create 3D tunnel mapping in an underground mine. The proposed method demonstrated superior performance in terms of measurement accuracy and location estimation, achieving lower errors compared to manual surveying.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2021)

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Article Remote Sensing

Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network

Sarvesh Kumar Singh et al.

Summary: Roof bolts are commonly used for structural support in underground mines. Automated assessment using artificial neural network on 3D point cloud data helps in identifying and monitoring roof bolts accurately, outperforming other machine learning algorithms in terms of quality metric.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)

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Article Construction & Building Technology

A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine

Jane Gallwey et al.

Summary: The paper presents an effective method for automatically locating supporting rock bolts from a 3D laser scanned point cloud, utilizing machine learning and algorithms to classify data points with neural networks providing more accurate results. Combining different feature sets yields the strongest results, demonstrating robustness to noise and misclassifications.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)

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Article Mining & Mineral Processing

LiDAR mapping of ground damage in a heading re-orientation case study

Nicole Evanek et al.

Summary: The Subtropolis Mine implemented heading re-orientation and engineering controls to reduce the negative effects of horizontal stress and instability in crosscuts. Monitoring and analysis using 3D LiDAR surveys, conducted by NIOSH, proved to be crucial in characterizing ground instability and assessing the effectiveness of the engineering controls.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2021)

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Review Chemistry, Analytical

Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey

Saba Arshad et al.

Summary: Loop closure detection is crucial in SLAM, reducing error and creating a consistent global map. This survey examines existing literature on loop closure detection algorithms, particularly focusing on deep learning-based methods, identifying challenges, and discussing future directions.

SENSORS (2021)

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Article Mining & Mineral Processing

A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner

Sarvesh Kumar Singh et al.

Summary: The study proposed a robust workflow to classify and identify roof bolts in underground mines, achieving a correct identification rate of 89.27%. Through the use of multiple algorithms and upsampling techniques to address sparseness in point cloud data, the workflow successfully overcame challenges in identifying roof bolts in underground environments.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2021)

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Review Engineering, Geological

A state-of-the-art review of automated extraction of rock mass discontinuity characteristics using three-dimensional surface models

Rushikesh Battulwar et al.

Summary: Significant research has been conducted in the field of automated extraction of rock mass discontinuity characteristics from 3D models in the last two decades, providing several methodologies for acquiring discontinuity measurements. However, there is currently no single method that can accurately characterize discontinuities in a minimum amount of time.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2021)

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Article Engineering, Geological

Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning

Sarvesh Kumar Singh et al.

Summary: This study investigates the use of mobile laser scanning technology to identify structural discontinuities in complex environments with vegetation coverage on exposed rock faces. A new algorithm, CLPD, is developed to improve accuracy in identifying discontinuities by utilizing multi-view data collection and local point descriptors. Results show that CLPD outperforms existing approaches in terms of accuracy in discontinuity orientation estimates.

ENGINEERING GEOLOGY (2021)

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Article Engineering, Geological

A fully automatic-image-based approach to quantifying the geological strength index of underground rock mass

Sen Yang et al.

Summary: A novel image-based automatic rock mass Geological Strength Index (GSI) rating system was developed, providing a rapid and robust quantification of rock mass properties. The proposed method utilizes innovative algorithms to enhance the accuracy of discontinuity characterization, offering better noise suppression compared to existing methods.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2021)

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Article Chemistry, Analytical

Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features

Krzysztof Cwian et al.

Summary: This paper analyzes the advantages of using high-level geometric features in LiDAR SLAM in large-scale urban environments, proposing a new map representation method and utilizing factor graph optimization for final map and trajectory optimization. Through experiments comparing the proposed solution to the open-source LOAM, the benefits of using high-level features in full optimization approach for large-scale LiDAR SLAM were demonstrated.

SENSORS (2021)

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Article Construction & Building Technology

Horizontal single hole blast testing-Part 1: Systematic measurements using TLS surveys

Jonathan D. Aubertin et al.

Summary: The paper discusses the use of Large scale Single Hole Blast (SHB) testing to assess the impact of blasting specifications on rock cratering and blast efficiency. It proposes a method for analyzing horizontal SHB tests using data collected via terrestrial laser scanning surveys. The analysis process is detailed and comprehensive, providing insight into the behavior of blasting.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)

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Article Environmental Sciences

Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines

Sarvesh Kumar Singh et al.

Summary: Accurate georeferencing and coregistration of laser scans in underground mines are challenging due to the absence of GNSS signals. This study overcomes these challenges through the development of 3DUIDs and a 3DReG workflow, achieving effective results in field testing. Potential applications of 3DUID include roadway profile extraction, guided automation, sensor calibration, reference targets for routine survey, and deformation monitoring.

REMOTE SENSING (2021)

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Article Environmental Sciences

In-Situ Block Characterization of Jointed Rock Exposures Based on a 3D Point Cloud Model

Deheng Kong et al.

Summary: In-situ rock block characterization is crucial in rock mechanics and engineering, yet measuring and characterizing block geometrical properties remains challenging in various exposures and jointing patterns. A method using a point cloud model was developed, consisting of two procedures and a block indicator system for systematic and objective characterization. The method was applied to synthetic models and three different rock engineering scenarios, showing reliability and practical feasibility compared to existing empirical methods.

REMOTE SENSING (2021)

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Article Computer Science, Information Systems

Processing Laser Point Cloud in Fully Mechanized Mining Face Based on DGCNN

Zhizhong Xing et al.

Summary: The study utilizes the dynamic graph convolution neural network (DGCNN) to extract the geometric features of point clouds in the fully mechanized mining face (FMMF), achieving improved results through enhancements. By comparing with traditional methods, the correctness and feasibility of using DGCNN for point cloud feature extraction were validated.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

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Article Computer Science, Information Systems

A Coarse-to-Fine Approach for Rock Bolt Detection From 3D Point Clouds

Sarp Saydam et al.

Summary: The CFBolt algorithm utilizes a two-step strategy, utilizing Linear Discriminant Analysis and a deep neural network, to successfully detect rock bolts in LiDAR scan data from Sydney's tunneling project site, demonstrating high detection quality.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM

Da Li et al.

Summary: This study proposes a new strategy to reduce static drift at a local scale by identifying and compensating the influence of external disturbances based on the localization results of LiDAR SLAM. Through contrast experiments, potential inducing factors of static drift were analyzed, and a Kalman filter was used to estimate speed and acceleration parameters to establish an estimation criterion of static drift. Subsequently, a static drift compensation method for LiDAR SLAM was proposed, achieving a significant reduction in final positioning error.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

A Survey on Indoor Vehicle Localization Through RFID Technology

Andrea Motroni et al.

Summary: This paper provides a detailed analysis on three main categories of vehicle localization systems, discussing implementation details and methodology, highlighting applied RFID technology and parameters used. The survey focuses on achievable localization performance, considering infrastructure-deployment costs and complexity. Pros and cons of each method are highlighted, along with the main challenges and perspectives of RFID-based solutions for vehicle localization.

IEEE ACCESS (2021)

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Article Engineering, Geological

Automatic identification and characterization of discontinuities in rock masses from 3D point clouds

Deheng Kong et al.

ENGINEERING GEOLOGY (2020)

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Article Engineering, Geological

Identifying and mapping potentially adverse discontinuities in underground excavations using thermal and multispectral UAV imagery

Ryan M. Turner et al.

ENGINEERING GEOLOGY (2020)

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Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning

Han Bao et al.

ENGINEERING GEOLOGY (2020)

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Stability analysis of underground water-sealed oil storage caverns in China:A case study

Xingdong Zhao et al.

ENERGY EXPLORATION & EXPLOITATION (2020)

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Impact Assessment of Various IMU Error Sources on the Relative Accuracy of the GNSS/INS Systems

Quan Zhang et al.

IEEE SENSORS JOURNAL (2020)

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Review Geography, Physical

Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

Zhen Dong et al.

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Deploying MAVs for autonomous navigation in dark underground mine environments

Sina Sharif Mansouri et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2020)

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Influence of spatially varying thickness on load-bearing capacity of shotcrete

William Bjureland et al.

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Path Planner for Autonomous Exploration of Underground Mines by Aerial Vehicles

Carlos Rubio-Sierra et al.

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Autonomous Search for Underground Mine Rescue Using Aerial Robots

Tung Dang et al.

2020 IEEE AEROSPACE CONFERENCE (AEROCONF 2020) (2020)

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Development of a Protective Enclosure for Remote Sensing Applications-Case Study: Laser Scanning in Underground Coal Mines

Mark Dunn et al.

RESOURCES-BASEL (2020)

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Factors Influencing Stope Hanging Wall Stability and Ore Dilution in Narrow-Vein Deposits: Part 1

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GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2020)

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Rock Mass Structural Characterization Through DFN-LiDAR-DOS Methodology

Nicholas Vlachopoulos et al.

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Anthony Iannacchione et al.

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2020)

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Determination of rock type and moisture content in flysch using TLS intensity in the Elerji quarry (south-west Slovenia)

Tina Zivec et al.

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Francesco Martinelli

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Analyzing the Stability of Underground Mines Using 3D Point Cloud Data and Discontinuum Numerical Analysis

Seung-Joong Lee et al.

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Automatic characterization of rock mass discontinuities using 3D point clouds

Xiaojun Li et al.

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Robust GICP-Based 3D LiDAR SLAM for Underground Mining Environment

Zhuli Ren et al.

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Maxim Okhrimenko et al.

REMOTE SENSING (2019)

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A Fast Clustering Method for Identifying Rock Discontinuity Sets

Feng Gao et al.

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Assessment of drilling deviations in underground operations

J. Navarro et al.

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Efficient Laser-Based 3D SLAM for Coal Mine Rescue Robots

Menggang Li et al.

IEEE ACCESS (2019)

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DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration

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2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

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2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

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Autonomous Navigation and Mapping in Underground Mines Using Aerial Robots

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2019 IEEE AEROSPACE CONFERENCE (2019)

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Change detection in drill and blast tunnels from point cloud data

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T. Drews et al.

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Zhen Dong et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

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Estimating underground mine ventilation friction factors from low density 3D data acquired by a moving LiDAR

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