Telkwevr/Bench2Drive-VL-base

Bench2Drive-VL: Full-Stack Software for Closed-Loop Autonomous Driving with Vision Language Models Project Page | GitHub | Paper Bench2Drive-VL is a comprehensive closed-loop benchmark for Vision-Language Models in Autonomous Driving (VLM4AD). It extends the Bench2Drive benchmark by introducing closed-loop evaluation and the DriveCommenter expert model for automated annotation. This repository contains the natural language annotations for the Bench2Drive-Base1000 dataset. These… See the full description on the dataset page: https://huggingface.co/datasets/Telkwevr/Bench2Drive-VL-base.