Foundation Models for Mining 5.0: Challenges, Frameworks, and Opportunities-Reference-Cited by-同舟云学术

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Foundation Models for Mining 5.0: Challenges, Frameworks, and Opportunities

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)
language:
Short-container-title:

Author:

Li Yuchen¹,Teng Siyu¹,Li Lingxi²,Xuanyuan Zhe³,Chen Long⁴

Affiliation:

1. IRADS, BNU-HKBU UIC &HKBU &WAYTOUS,Zhuhai,China

2. Indiana University-Purdue University Indianapolis,Indianapolis,Indiana,US

3. Laboratory IRADS, BNU-HKBU UIC,Guangdong Provincial Key,Zhuhai,China

4. Chinese Academy of Sciences &WAYTOUS,Institute of Automation,Beijing,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10365401/10365317/10365454.pdf?arnumber=10365454

Reference31 articles.

1. Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

2. Milestones in Autonomous Driving and Intelligent Vehicles—Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

3. Milestones in Autonomous Driving and Intelligent Vehicles—Part II: Perception and Planning

4. Spatial transformer networks;Jaderberg;Advances in neural information processing systems,2015

5. Improving language understanding by generative pre-training;Radford,2018

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Embodied Intelligence in Mining: Leveraging Multi-Modal Large Language Models for Autonomous Driving in Mines;IEEE Transactions on Intelligent Vehicles;2024-05

2. High-Precision Positioning, Perception and Safe Navigation for Automated Heavy-Duty Mining Trucks;IEEE Transactions on Intelligent Vehicles;2024-04

3. Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications;IEEE Transactions on Intelligent Vehicles;2024-03

4. UnstrPrompt: Large Language Model Prompt for Driving in Unstructured Scenarios;IEEE Journal of Radio Frequency Identification;2024

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