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.
Share on XNo license declared
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 2026-09-29
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