High-precision positioning, perception and safe navigation for automated heavy-duty mining trucks

L Chen, Y Li, L Li, S Qi, J Zhou, Y Tang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …

Autonomous haulage systems in the mining industry: Cybersecurity, communication and safety issues and challenges

T Gaber, Y El Jazouli, E Eldesouky, A Ali - Electronics, 2021 - mdpi.com
The current advancement of robotics, especially in Cyber-Physical Systems (CPS), leads to
a prominent combination between the mining industry and connected-embedded …

Smart mining with autonomous driving in industry 5.0: Architectures, platforms, operating systems, foundation models, and applications

L Chen, Y Li, W Silamu, Q Li, S Ge… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The increasing importance of mineral resources in contemporary society is becoming more
prominent, playing an indispensable and crucial role in the global economy. These …

Using artificial intelligence in mining excavators: Automating routine operational decisions

M Ramezani, S Tafazoli - IEEE Industrial Electronics Magazine, 2020 - ieeexplore.ieee.org
Worldwide mining operations, which account for nearly 11% of global power consumption,
are 28% less productive today than a decade ago. Meanwhile, mobile equipment was …

Concepts for development of autonomous coal mine shuttle cars

V Androulakis, J Sottile, S Schafrik… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
During the last few decades, the mining industry has increasingly turned to autonomous
systems in its efforts to modernize and advance mining methods and techniques. Vehicle …

Lookup: Vision-only real-time precise underground localisation for autonomous mining vehicles

F Zeng, A Jacobson, D Smith, N Boswell… - … on robotics and …, 2019 - ieeexplore.ieee.org
A key capability for autonomous underground mining vehicles is real-time accurate
localisation. While significant progress has been made, currently deployed systems have …

Intelligent mining road object detection based on multiscale feature fusion in multi-UAV networks

X Xu, S Zhao, C Xu, Z Wang, Y Zheng, X Qian, H Bao - Drones, 2023 - mdpi.com
In complex mining environments, driverless mining trucks are required to cooperate with
multiple intelligent systems. They must perform obstacle avoidance based on factors such as …

Navigation system for a semi-autonomous shuttle car in room and pillar coal mines based on 2D LiDAR scanners

V Androulakis, J Sottile, S Schafrik… - … and Underground Space …, 2021 - Elsevier
Autonomous navigation in underground environments remains a hot topic for the
autonomous vehicle engineering community. There is a wealth of information available in …

Monitoring of inaccessible areas in gps-denied underground mines using a fully autonomous encased safety inspection drone

J Shahmoradi, A Mirzaeinia, P Roghanchi… - AIAA Scitech 2020 …, 2020 - arc.aiaa.org
Increasing the depth of either surface mines or underground mines as hazardous places,
make mines even more dangerous workplace. Therefore, continuous monitoring is crucial to …

[PDF][PDF] Towards implementation and autonomous navigation of an intelligent automated guided vehicle in material handling systems

B Babic, Z Miljkovic, N Vukovic, V Antic - 2012 - sid.ir
Automated Guided Vehicles (AGV) have been a conventional solution and choice made by
many manufacturing enterprises as means for Flexible Material Handling Systems (FMHS) …