Uncertainty-aware model-based reinforcement learning: Methodology and application in autonomous driving

J Wu, Z Huang, C Lv - IEEE Transactions on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
To further improve learning efficiency and performance of reinforcement learning (RL), a
novel uncertainty-aware model-based RL method is proposed and validated in autonomous …

Comprehensive overview: Fleet management drives green and climate-smart open pit mine

Q Wang, Q Gu, X Li, N Xiong - Renewable and Sustainable Energy …, 2024 - Elsevier
Greenhouse gas emissions from open pit mining cannot be ignored in global climate
governance, especially since the loading and hauling link is one of the major sources of …

Making standards for smart mining operations: Intelligent vehicles for autonomous mining transportation

S Ge, FY Wang, J Yang, Z Ding, X Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In face of the safety risk and ageing workforce in traditional mining industry, smart mining is
becoming the new trend, especially the autonomous mining, which could completely …

Mixed-integer and conditional trajectory planning for an autonomous mining truck in loading/dumping scenarios: A global optimization approach

B Li, Y Ouyang, X Li, D Cao, T Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Trajectory planning for a heavy-duty mining truck near the loading/dumping sites of an open-
pit mine is difficult. As opposed to trajectory planning for a small-sized passenger car in a …

Scenario engineering for autonomous transportation: A new stage in open-pit mines

S Teng, X Li, Y Li, L Li, Z Xuanyuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, open-pit mining has seen significant advancement, the cooperative
operation of various specialized machinery substantially enhancing the efficiency of mineral …

Intelligent fleet management systems in surface mining: Status, threats, and opportunities

A Hazrathosseini, AM Afrapoli - Mining, Metallurgy & Exploration, 2023 - Springer
Fleet management systems (FMSs) as the pivotal part of any surface mining operation find it
essential to evolve from conventional into intelligent systems because of both Mining 4.0 …

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 …

Msfanet: A light weight object detector based on context aggregation and attention mechanism for autonomous mining truck

R Song, Y Ai, B Tian, L Chen, F Zhu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate and reliable object detection is a fundamental component of perception system for
autonomous driving. Specially, in some circumstances like autonomous driving in surface …

Fusionplanner: A multi-task motion planner for mining trucks using multi-sensor fusion method

S Teng, L Li, Y Li, X Hu, L Li, Y Ai, L Chen - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …

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 …