Machine and deep learning for digital twin networks: A survey
B Qin, H Pan, Y Dai, X Si, X Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …
connects physical entities with virtual counterparts, which facilitates precise understanding …
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 …
operation of various specialized machinery substantially enhancing the efficiency of mineral …
High-precision positioning, perception and safe navigation for automated heavy-duty mining trucks
Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
OmniHD-Scenes: A next-generation multimodal dataset for autonomous driving
The rapid advancement of deep learning has intensified the need for comprehensive data
for use by autonomous driving algorithms. High-quality datasets are crucial for the …
for use by autonomous driving algorithms. High-quality datasets are crucial for the …
Miningllm: Towards mining 5.0 via large language models in autonomous driving and smart mining
Minerals serve as the cornerstone of contemporary societal infrastructure and diverse
industries. However, the mining sector perennially confronts transportation challenges …
industries. However, the mining sector perennially confronts transportation challenges …
Embodied Intelligence in Mining: Leveraging Multi-modal Large Language Model for Autonomous Driving in Mines
With advancements in computer technology, the benefits of embodied intelligence are
increasingly evident. This interactive learning model allows AI to be more flexibly deployed …
increasingly evident. This interactive learning model allows AI to be more flexibly deployed …
SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data
Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI
models work as a black-box, making it challenging to provide reasoning behind their …
models work as a black-box, making it challenging to provide reasoning behind their …
AutoMine: A Multimodal Dataset for Robot Navigation in Open‐Pit Mines
In the past decade, autonomous driving has witnessed significant advancements, largely
attributable to the evolution of precise algorithms and efficient computing platforms …
attributable to the evolution of precise algorithms and efficient computing platforms …
Active Parallel Teacher for Human-in-the-Loop Sim2Real Object Detection in Autonomous Haulage Trucks
L Guo, Y Guo, Y Ai, S Ge - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Object detection for autonomous haulage trucks in open-pit mines is challenging due to
unstructured environments. Collecting and annotating large-scale real-world images in …
unstructured environments. Collecting and annotating large-scale real-world images in …
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 …
navigation. However, real-time environment sharing faces significant challenges due to …