--- license: apache-2.0 task_categories: - robotics language: - en tags: - Autonomous-Driving - Simulation ---

# **Learning to Drive via Real-World Simulation at Scale** [![Paper](https://img.shields.io/badge/ArXiv-A42C25?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2511.23369) [![Home](https://img.shields.io/badge/project_page-5F259F?style=for-the-badge&logo=homepage&logoColor=white)](https://opendrivelab.com/SimScale/) [![GitHub](https://img.shields.io/badge/github-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/OpenDriveLab/SimScale) [![Hugging Face](https://img.shields.io/badge/hugging_face-ffc107?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/datasets/OpenDriveLab/SimScale) [![ModelScope](https://img.shields.io/badge/modelscope-624AFF?style=for-the-badge&logo=modelscope&logoColor=white)](https://modelscope.cn/datasets/OpenDriveLab/SimScale) [![License](https://img.shields.io/badge/Apache--2.0-019B8F?style=for-the-badge&logo=apache)](https://github.com/OpenDriveLab/SimScale/blob/main/LICENSE)

> [Haochen Tian](https://github.com/hctian713), > [Tianyu Li](https://github.com/sephyli), > [Haochen Liu](https://georgeliu233.github.io/), > [Jiazhi Yang](https://github.com/YTEP-ZHI), > [Yihang Qiu](https://github.com/gihharwtw), > [Guang Li](https://scholar.google.com/citations?user=McEfO8UAAAAJ&hl=en), > [Junli Wang](https://openreview.net/profile?id=%7EJunli_Wang4), > [Yinfeng Gao](https://scholar.google.com/citations?user=VTn0hqIAAAAJ&hl=en), > [Zhang Zhang](https://scholar.google.com/citations?user=rnRNwEMAAAAJ&hl=en), > [Liang Wang](https://scholar.google.com/citations?user=8kzzUboAAAAJ&hl=en), > [Hangjun Ye](https://scholar.google.com/citations?user=68tXhe8AAAAJ&hl=en), > [Tieniu Tan](https://scholar.google.com/citations?user=W-FGd_UAAAAJ&hl=en), > [Long Chen](https://long.ooo/), > [Hongyang Li](https://lihongyang.info/) > > > - 📧 Primary Contact: Haochen Tian (tianhaochen2023@ia.ac.cn) > - 📜 Materials: 🌐 [𝕏](https://x.com/OpenDriveLab/status/1999507869633527845) | 📰 [Media](https://mp.weixin.qq.com/s/OGV3Xlb0bHSSSloG11qFJA) | 🗂️ [Slides](https://docs.google.com/presentation/d/17qbsKZU9jdw7MfiPk7hZelaLb3leR2M76gPcMkuf1MI/edit?usp=sharing) | 🎬 [Talk (in Chinese)](https://www.bilibili.com/video/BV1tqrEBNECQ) > - 🖊️ Joint effort by CASIA, OpenDriveLab at HKU, and Xiaomi EV. --- ## 🔥 Highlights - 🏗️ A scalable simulation pipepline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert demonstrations. - 🚀 An effective sim-real co-training strategy that improves robustness and generalization synergistically across various end-to-end planners. - 🔬 A comprehensive recipe that reveals crucial insights into the underlying scaling properties of sim-real learning systems for end-to-end autonomy.