Driving with llms: Fusing object-level vector modality for explainable autonomous driving
L Chen, O Sinavski, J Hünermann, A Karnsund… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have shown promise in the autonomous driving sector,
particularly in generalization and interpretability. We introduce a unique object-level …
particularly in generalization and interpretability. We introduce a unique object-level …
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
In the past decade, autonomous driving has experienced rapid development in both
academia and industry. However, its limited interpretability remains a significant unsolved …
academia and industry. However, its limited interpretability remains a significant unsolved …
Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving
Large language models (LLMs) have opened up new possibilities for intelligent agents,
endowing them with human-like thinking and cognitive abilities. In this work, we delve into …
endowing them with human-like thinking and cognitive abilities. In this work, we delve into …
Languagempc: Large language models as decision makers for autonomous driving
Existing learning-based autonomous driving (AD) systems face challenges in
comprehending high-level information, generalizing to rare events, and providing …
comprehending high-level information, generalizing to rare events, and providing …
Hilm-d: Towards high-resolution understanding in multimodal large language models for autonomous driving
Autonomous driving systems generally employ separate models for different tasks resulting
in intricate designs. For the first time, we leverage singular multimodal large language …
in intricate designs. For the first time, we leverage singular multimodal large language …
Lampilot: An open benchmark dataset for autonomous driving with language model programs
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …
frameworks struggle to interpret and execute spontaneous user instructions such as" …
Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles
The fusion of human-centric design and artificial intelligence capabilities has opened up
new possibilities for next-generation autonomous vehicles that go beyond traditional …
new possibilities for next-generation autonomous vehicles that go beyond traditional …
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models
The rise of multimodal large language models (MLLMs) has spurred interest in language-
based driving tasks. However existing research typically focuses on limited tasks and often …
based driving tasks. However existing research typically focuses on limited tasks and often …
A survey of large language models for autonomous driving
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …
mobility, has the tend to transition from rule-based systems to data-driven strategies …
Lmdrive: Closed-loop end-to-end driving with large language models
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 …
struggle and can incur serious accidents when encountering long-tail unforeseen events …