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--- |
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license: apache-2.0 |
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task_categories: |
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- robotics |
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language: |
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- en |
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tags: |
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- Autonomous-Driving |
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- Simulation |
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--- |
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<div id="top" align="center"> |
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<p align="center"> |
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<img src="https://ik.imagekit.io/StarBurger/SimScale/title_1080p.gif"> |
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</p> |
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# **Learning to Drive via Real-World Simulation at Scale** |
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[](https://arxiv.org/abs/2511.23369) |
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[](https://opendrivelab.com/SimScale/) |
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[](https://github.com/OpenDriveLab/SimScale) |
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[](https://huggingface.co/datasets/OpenDriveLab/SimScale) |
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[](https://modelscope.cn/datasets/OpenDriveLab/SimScale) |
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[](https://github.com/OpenDriveLab/SimScale/blob/main/LICENSE) |
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</div> |
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<div id="top" align="center"> |
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<p align="center"> |
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<img src="assets/teaser.png" > |
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</p> |
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</div> |
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> [Haochen Tian](https://github.com/hctian713), |
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> [Tianyu Li](https://github.com/sephyli), |
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> [Haochen Liu](https://georgeliu233.github.io/), |
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> [Jiazhi Yang](https://github.com/YTEP-ZHI), |
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> [Yihang Qiu](https://github.com/gihharwtw), |
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> [Guang Li](https://scholar.google.com/citations?user=McEfO8UAAAAJ&hl=en), |
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> [Junli Wang](https://openreview.net/profile?id=%7EJunli_Wang4), |
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> [Yinfeng Gao](https://scholar.google.com/citations?user=VTn0hqIAAAAJ&hl=en), |
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> [Zhang Zhang](https://scholar.google.com/citations?user=rnRNwEMAAAAJ&hl=en), |
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> [Liang Wang](https://scholar.google.com/citations?user=8kzzUboAAAAJ&hl=en), |
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> [Hangjun Ye](https://scholar.google.com/citations?user=68tXhe8AAAAJ&hl=en), |
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> [Tieniu Tan](https://scholar.google.com/citations?user=W-FGd_UAAAAJ&hl=en), |
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> [Long Chen](https://long.ooo/), |
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> [Hongyang Li](https://lihongyang.info/) |
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> |
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> |
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> - π§ Primary Contact: Haochen Tian (tianhaochen2023@ia.ac.cn) |
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> - π Materials: π [π](https://x.com/OpenDriveLab/status/1999507869633527845) | π° [Media](https://mp.weixin.qq.com/s/OGV3Xlb0bHSSSloG11qFJA) | ποΈ [Slides](https://docs.google.com/presentation/d/17qbsKZU9jdw7MfiPk7hZelaLb3leR2M76gPcMkuf1MI/edit?usp=sharing) | π¬ [Talk (in Chinese)](https://www.bilibili.com/video/BV1tqrEBNECQ) |
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> - ποΈ Joint effort by CASIA, OpenDriveLab at HKU, and Xiaomi EV. |
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--- |
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## π₯ Highlights |
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- ποΈ A scalable simulation pipepline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert demonstrations. |
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- π An effective sim-real co-training strategy that improves robustness and generalization synergistically across various end-to-end planners. |
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- π¬ A comprehensive recipe that reveals crucial insights into the underlying scaling properties of sim-real learning systems for end-to-end autonomy. |