How simulation helps autonomous driving: A survey of sim2real, digital twins, and parallel intelligence

X Hu, S Li, T Huang, B Tang, R Huai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Developing autonomous driving technologies necessitates addressing safety and cost
concerns. Both academic research and commercial applications of autonomous driving …

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 …

[HTML][HTML] Data-driven transferred energy management strategy for hybrid electric vehicles via deep reinforcement learning

H Chen, G Guo, B Tang, G Hu, X Tang, T Liu - Energy Reports, 2023 - Elsevier
Real-time applications of energy management strategies (EMSs) in hybrid electric vehicles
(HEVs) are the harshest requirements for researchers and engineers. Inspired by the …

Probabilistic Game Theory and Stochastic Model Predictive Control-Based Decision Making and Motion Planning in Uncontrolled Intersections for Autonomous …

Y Jeong - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
This paper presents a motion planner of autonomous vehicles for uncontrolled intersection
driving. Uncertainty about the surrounding target vehicles is an important consideration for …