Thinklab-SJTU/Awesome-LLM4AD resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1892 stars · 112 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, continuously updated list of research papers, datasets, and resources on applying Large Language Models (and VLM/VLA/World Models) to autonomous driving. Maintained by SJTU-ReThinklab alongside their LLM4Drive survey paper.

Use cases

• find papers on LLMs for autonomous driving
• research vision-language-action models for driving
• survey datasets for LLM4AD research
• track the state of the art in LLM-based driving planners
• prepare a literature review on autonomous driving with foundation models
• find world model papers for autonomous vehicles

When to choose

• you need a comprehensive, categorized reading list of LLM4AD research
• you are starting research on LLM/VLM/VLA applications in autonomous driving
• you want a companion resource to the LLM4Drive survey paper

When to avoid

• you need runnable code or a software library rather than a paper list
• you need production tools for autonomous driving systems
• you need non-driving LLM resources

Facets

learning-resource · maturity active

documentation autonomous-vehicles large-language-models artificial-intelligence awesome-lists cross-platform awesome-list llm4ad vision-language-models vision-language-action world-model research-papers survey

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markdown · JSON · MCP: product_card(name="Thinklab-SJTU/Awesome-LLM4AD")