fsdrive
Official code for FutureSightDrive, a NeurIPS 2025 spotlight research paper on autonomous driving. It has the model think visually about future scenes before deciding how to drive.
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Overview
FutureSightDrive, or FSDrive, is the official code for a research paper accepted as a NeurIPS 2025 spotlight. It proposes a spatio-temporal chain of thought that lets a vision-language-action model for end-to-end autonomous driving think visually when planning a trajectory. According to the authors, it unifies visual generation and understanding with minimal data. The repository covers installation, data preparation, training, inference, evaluation and visualization.
Key features
- Spatio-temporal chain of thought for driving models
- Visual reasoning for trajectory planning
- Unifies visual generation and understanding
- Guides for training, inference, evaluation and visualization
Best for
Researchers working on autonomous driving, vision-language-action models or world models who want to reproduce or build on this paper. It is research code, not a ready driving product.
- Upstream
- MIV-XJTU/FSDrive
- Fork on GitHub
- Guo-astro/fsdrive
- Upstream stars
- 832
- Category
- Finance, data and research
- Language
- Python
- License
- No license declaredWithout a license, the author keeps all rights. Ask the upstream owner before reusing the code.
- Forked
- 2025-11-09
- Sync status
- In syncLast synced 2026-10-19
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