bench2drive
Bench2Drive
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.
Description
Bench2Drive is a benchmark designed for evaluating end-to-end autonomous driving algorithms in the closed-loop manner. It features:
Comprehensive Scenario Coverage: Bench2Drive is designed to test AD systems across 44 interactive scenarios, ensuring a thorough evaluation of an AD system's capability to handle real-world driving challenges.
Granular Skill Assessment:… See the full description on the dataset page: https://huggingface.co/datasets/rethinklab/Bench2Drive.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.Bench2Drive-FullBench2Drive-V0.0.4-depth
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.
New Features
This is the new 0.0.4 version of Bench2Drive dataset with strictly uniform training data: The new Think2Drive-collected training set (44 scenarios × 25 routes = 1,100 routes) is strictly uniform over scenarios, unlike the previous Base set whose scenario distribution is uneven.
Also introduced new modality: 3D occupancy (3D occ).
This repo only includes the… See the full description on the dataset page: https://huggingface.co/datasets/Bench2DriveData/Bench2Drive-V0.0.4-depth.Bench2Drive-V0.0.4
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.
New Features
This is the new 0.0.4 version of Bench2Drive dataset with strictly uniform training data: The new Think2Drive-collected training set (44 scenarios × 25 routes = 1,100 routes) is strictly uniform over scenarios, unlike the previous Base set whose scenario distribution is uneven.
Also introduced new modality: 3D occupancy (3D occ).
This repo does not include… See the full description on the dataset page: https://huggingface.co/datasets/rethinklab/Bench2Drive-V0.0.4.Bench2Drive-Full-Sup