Shypd.aiThe largest open index of AI toolsAwesome-LLM4AD is an open-source curated list of resources for Large Language Models for Autonomous Driving (LLM4AD). It includes research papers on LLM, VLM, VLA, and World Models for autonomous driving, continuously updated.
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Awesome-LLM4AD is a comprehensive, open-source collection of research papers focused on Large Language Models for Autonomous Driving (LLM4AD). This resource tracks the latest advancements in the field, encompassing Vision-Language Models for AD (VLM4AD) and Vision-Language-Action models for AD (VLA4AD). Maintained by SJTU-ReThinklab, the repository categorizes existing works based on LLM applications in planning, perception, question answering, and generation for autonomous driving. It also highlights the motivation behind LLM4AD, addressing challenges like the sim2real gap and the long-tailed nature of autonomous driving tasks. Researchers and developers can find detailed information on papers, datasets, and project pages, making it an invaluable resource for staying current with the frontier of LLM4AD research.
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