Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

C Liu, J Zhao - arXiv preprint arXiv:2403.19016, 2024 - arxiv.org
In the upcoming 6G era, vehicular networks are shifting from simple Vehicle-to-Vehicle
(V2V) communication to the more complex Vehicle-to-Everything (V2X) connectivity. At the …

Large language models for autonomous driving: Real-world experiments

C Cui, Z Yang, Y Zhou, Y Ma, J Lu, Z Wang - arXiv preprint arXiv …, 2023 - arxiv.org
Autonomous driving systems are increasingly popular in today's technological landscape,
where vehicles with partial automation have already been widely available on the market …

Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles

C Cui, Y Ma, X Cao, W Ye… - IEEE Intelligent …, 2024 - ieeexplore.ieee.org
The fusion of human-centric design and artificial intelligence capabilities has opened up
new possibilities for next-generation autonomous vehicles that go beyond traditional …

Vision language models in autonomous driving and intelligent transportation systems

X Zhou, M Liu, BL Zagar, E Yurtsever… - arXiv preprint arXiv …, 2023 - arxiv.org
The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving
(AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to …

Drive as you speak: Enabling human-like interaction with large language models in autonomous vehicles

C Cui, Y Ma, X Cao, W Ye… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The future of autonomous vehicles lies in the convergence of human-centric design and
advanced AI capabilities. Autonomous vehicles of the future will not only transport …

A survey on multimodal large language models for autonomous driving

C Cui, Y Ma, X Cao, W Ye, Y Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …

Lmdrive: Closed-loop end-to-end driving with large language models

H Shao, Y Hu, L Wang, G Song… - Proceedings of the …, 2024 - openaccess.thecvf.com
Despite significant recent progress in the field of autonomous driving modern methods still
struggle and can incur serious accidents when encountering long-tail unforeseen events …

Pushing large language models to the 6g edge: Vision, challenges, and opportunities

Z Lin, G Qu, Q Chen, X Chen, Z Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), which have shown remarkable capabilities, are
revolutionizing AI development and potentially shaping our future. However, given their …

Taking LM as the Brain: A Novel Approach Integrating Language Model and Generative Agent for Intelligent Decision Systems

J Yang, X Cai, Y Liu, M Chen… - International Journal of …, 2024 - airitilibrary.com
The Large Language Model (LLM) has demonstrated significant capabilities in intelligent
robotics and Autonomous Driving (AD). Compared to traditional end-to-end models …

Joint computation offloading and URLLC resource allocation for collaborative MEC assisted cellular-V2X networks

L Feng, W Li, Y Lin, L Zhu, S Guo, Z Zhen - IEEE Access, 2020 - ieeexplore.ieee.org
By leveraging the 5G enabled V2X networks, the vehicles connected by cellular base-
stations can support a wide variety of computation-intensive services. In order to solve the …