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

Miningllm: Towards mining 5.0 via large language models in autonomous driving and smart mining

Y Li, L Li, Z Wu, Z Bing, Y Ai, B Tian… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Minerals serve as the cornerstone of contemporary societal infrastructure and diverse
industries. However, the mining sector perennially confronts transportation challenges …
被引用次数：2 相关文章

Real-Time Efficient Environment Compression and Sharing for Multi-Robot Cooperative Systems

L Zheng, K Xu, J Jiang, M Wei, B Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Efficient environment sharing is crucial for multi-robot tasks, such as exploration and
navigation. However, real-time environment sharing faces significant challenges due to …
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Parallel Driving in Mining: ACP based Prediction and Tracking of Heavy-duty Vehicle

J Yang, J Liu, S Ge, Y Zhang, K Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The autonomous driving of heavy-duty tracked vehicles (HTVs) is prone to significant
position and posture deviation at the end of walking part in trajectory tracking control, which …
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[引用][C] Sora for Hierarchical Parallel Motion Planner: A Safe End-to-End Method Against OOD Events

S Teng, R Yan, X Zhang, Y Li, X Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
End-to-end motion planners have shown great poten-tial for enabling fully autonomous
driving. However, when facing out-of-distribution (OOD) events, these planners might not …
被引用次数：2 相关文章