worldbench/awesome-vla-for-ad
A survey paper and curated list of vision-language-action models for autonomous driving, organized into end-to-end and dual-system paradigms.
Not currently ranked — collecting fresh signals.
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This repository compiles and reviews vision-action and vision-language-action models used in autonomous driving systems. It traces the evolution from early VA approaches to modern VLA frameworks, categorizing methods into end-to-end VLA (integrating perception, reasoning, and planning in one model) and dual-system VLA (separating slow VLM deliberation from fast planner execution). The project includes an associated arXiv paper and a HuggingFace leaderboard for evaluating VLA models.
Frequently asked
- What is worldbench/awesome-vla-for-ad?
- A survey paper and curated list of vision-language-action models for autonomous driving, organized into end-to-end and dual-system paradigms.
- Is awesome-vla-for-ad open source?
- Yes — worldbench/awesome-vla-for-ad is open source, released under the MIT license.
- What language is awesome-vla-for-ad written in?
- worldbench/awesome-vla-for-ad is primarily written in HTML.
- How popular is awesome-vla-for-ad?
- worldbench/awesome-vla-for-ad has 436 stars on GitHub.
- Where can I find awesome-vla-for-ad?
- worldbench/awesome-vla-for-ad is on GitHub at https://github.com/worldbench/awesome-vla-for-ad.