Novel sensors for underground robotics

Green, Jeremy J.; Coetzee, Shaun

doi:10.1109/coase.2012.6386418

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…These vehicles are equipped with sensors and cameras and are typically controlled remotely by a human operator or through autonomous programming. Some potential uses for UGVs in underground mines include [76,77] surveying and mapping, material handling, and hazardous tasks. Overall, the use of UGVs in underground mines can help to improve safety and efficiency by reducing the need for human workers to perform tasks in potentially hazardous environments.…”

Section: Unmanned Ground Vehiclementioning

confidence: 99%

“…Geothermal heat causes hot walls in deep gold mines, and thermal imaging becomes a viable alternative for structural imaging. The authors in [77] use the combination of temperature and 3D data to allow for the calculation of a risk measure, which may be used to identify possible danger zones. The miner's interpretation of risk data might be represented in a variety of ways.…”

Section: Unmanned Ground Vehiclementioning

confidence: 99%

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The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines

Imam

Bäına

Tabii

et al. 2023

Sensors

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Underground mining operations present critical safety hazards due to limited visibility and blind areas, which can lead to collisions between mobile machines and vehicles or persons, causing accidents and fatalities. This paper aims to survey the existing literature on anti-collision systems based on computer vision for pedestrian detection in underground mines, categorize them based on the types of sensors used, and evaluate their effectiveness in deep underground environments. A systematic review of the literature was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify relevant research work on anti-collision systems for underground mining. The selected studies were analyzed and categorized based on the types of sensors used and their advantages and limitations in deep underground environments. This study provides an overview of the anti-collision systems used in underground mining, including cameras and lidar sensors, and their effectiveness in detecting pedestrians in deep underground environments. Anti-collision systems based on computer vision are effective in reducing accidents and fatalities in underground mining operations. However, their performance is influenced by factors, such as lighting conditions, sensor placement, and sensor range. The findings of this study have significant implications for the mining industry and could help improve safety in underground mining operations. This review and analysis of existing anti-collision systems can guide mining companies in selecting the most suitable system for their specific needs, ultimately reducing the risk of accidents and fatalities.

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Section: Unmanned Ground Vehiclementioning

confidence: 99%

Section: Unmanned Ground Vehiclementioning

confidence: 99%

The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines

Imam

Bäına

Tabii

et al. 2023

Sensors

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“…Fig. 4 shows the prototype sensor head for automatic dataset capture [13]. There is an Xbox kinect structured light sensor and a Swiss Ranger SR4000 range imaging camera to measure the 3-D topography of the hanging-wall.…”

Section: A Hanging Wall Inspection Sensorsmentioning

confidence: 99%

“…The ability to take a 2-D picture and visualize the actual 3-D work space it not a universally possessed skill. Therefore, alternative visualizations are being explored [13] to best convey the risk diagnostics to the miner. Fig.…”

Section: F Data Visualizationmentioning

confidence: 99%

Underground mining robot: A CSIR project

Green

2012

2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

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The Council for Scientific and Industrial Research (CSIR) in South Africa is currently developing a robot for the inspection of the ceiling (hanging-wall) in an underground gold mine. The robot autonomously navigates the 30 meter long by 3 meter wide, by 1 meter high stope area, while scanning the hanging-wall to generate a thermal 3-D map. Data is then analyzed to identify cooler regions that are not consistent with the hanging-wall topography. These are then shown to the miners in a 3-D visualization environment such that remedial action can be taken, and all miners are aware of the potentially dangerous areas in the working area. The project is a collaborative effort between three units within the CSIR. The Centre for Mining Innovation (CMI) is the project lead unit and is developing the sensors needed for underground data acquisition related to the safety application. The body of the robot is being developed by the Mechatronics and Micro-Manufacturing (MMM) group. The software component is being developed by the Mobile Intelligent Autonomous Systems (MIAS) Group. The project is currently completing the technical prototype for the system that will be demonstrated in a specially constructed test facility. 1

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