LLM-based Operating Systems for Automated Vehicles: A New Perspective

J Ge, C Chang, J Zhang, L Li, X Na… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The deployment of large language models (LLMs) brings challenges to intelligent systems
because its capability of integrating large-scale training data facilitates contextual reasoning …

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 …

Evaluation of large language models for decision making in autonomous driving

K Tanahashi, Y Inoue, Y Yamaguchi… - arXiv preprint arXiv …, 2023 - arxiv.org
Various methods have been proposed for utilizing Large Language Models (LLMs) in
autonomous driving. One strategy of using LLMs for autonomous driving involves inputting …

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 of large language models for autonomous driving

Z Yang, X Jia, H Li, J Yan - arXiv preprint arXiv:2311.01043, 2023 - arxiv.org
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving

D Fu, W Lei, L Wen, P Cai, S Mao, M Dou, B Shi… - arXiv preprint arXiv …, 2024 - arxiv.org
The emergence of Multimodal Large Language Models ((M) LLMs) has ushered in new
avenues in artificial intelligence, particularly for autonomous driving by offering enhanced …

Large Language Models for UAVs: Current State and Pathways to the Future

S Javaid, N Saeed, B He - arXiv preprint arXiv:2405.01745, 2024 - arxiv.org
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

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 …

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 …

Chatgpt as your vehicle co-pilot: An initial attempt

S Wang, Y Zhu, Z Li, Y Wang, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …