Motivation
Given the safety concerns and high costs associated with real-world autonomous driving testing, high- fidelity simulation techniques have become crucial for advancing the capabilities of autonomous systems.
Task Description
In this competition, we evaluate the performance of submitted autonomous driving algorithms on a closed-loop simulator, with multiple challenging scenarios. Both simulator and submitted autonomous driving algorithms will execute online to make sure the closed-loop evaluation. Models and running environments are expected to be submitted to this reason. If you have concern about the privacy, please refer to the privacy section to check how we protect your privacy.
Privacy
Your model checkpoints is expected to store in huggingface model hub. We recommend setting it as private. The tested algorithms are located in huggingface instance server, which will be destroy once the evaluation is finished. We have no authorization to achieve these server either. The behaviors of server are pre-defined in the docker file which is available to participants.
Timeline
- Challenge Release: June 30, 2025
- Challenge Submission Due: Aug 31, 2025
- Release Results & Submit Technical Report: Sep 05, 2025
- Technical Report Due: Sep 20, 2025
Citation
If you find our work useful, please kindly cite us via:
@article{zhou2024hugsim,
title={HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving},
author={Zhou, Hongyu and Lin, Longzhong and Wang, Jiabao and Lu, Yichong and Bai, Dongfeng and Liu, Bingbing and Wang, Yue and Geiger, Andreas and Liao, Yiyi},
journal={arXiv preprint arXiv:2412.01718},
year={2024}
}