CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine
This repository contains the model weights of CoReVLA, a dual-stage end-to-end autonomous driving framework designed to handle long-tail scenarios via a collect-and-refine strategy.
- ๐ Code: https://github.com/FanGShiYuu/CoReVLA
- ๐ Important Notice: We discovered that the previously uploaded model was incomplete. Please use models uploaded after 10/12/2025 as the correct version.
- ๐ง Contact: fangshiyu@tongji.edu.cn for any questions or issues.
- Downloads last month
- 3
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support