Update README.md
Browse files
README.md
CHANGED
|
@@ -15,9 +15,10 @@ tags:
|
|
| 15 |
<img src="https://ik.imagekit.io/StarBurger/SimScale/title_1080p.gif">
|
| 16 |
</p>
|
| 17 |
|
|
|
|
| 18 |
# **Learning to Drive via Real-World Simulation at Scale**
|
| 19 |
|
| 20 |
-
|
| 21 |
[](https://arxiv.org/abs/2511.23369)
|
| 22 |
[](https://opendrivelab.com/SimScale/)
|
| 23 |
[](https://huggingface.co/datasets/OpenDriveLab/SimScale)
|
|
@@ -53,6 +54,8 @@ tags:
|
|
| 53 |
> - 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)
|
| 54 |
> - ποΈ Joint effort by CASIA, OpenDriveLab at HKU, and Xiaomi EV.
|
| 55 |
|
|
|
|
|
|
|
| 56 |
## π₯ Highlights
|
| 57 |
|
| 58 |
- ποΈ A scalable simulation pipeline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert demonstrations.
|
|
|
|
| 15 |
<img src="https://ik.imagekit.io/StarBurger/SimScale/title_1080p.gif">
|
| 16 |
</p>
|
| 17 |
|
| 18 |
+
|
| 19 |
# **Learning to Drive via Real-World Simulation at Scale**
|
| 20 |
|
| 21 |
+
|
| 22 |
[](https://arxiv.org/abs/2511.23369)
|
| 23 |
[](https://opendrivelab.com/SimScale/)
|
| 24 |
[](https://huggingface.co/datasets/OpenDriveLab/SimScale)
|
|
|
|
| 54 |
> - 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)
|
| 55 |
> - ποΈ Joint effort by CASIA, OpenDriveLab at HKU, and Xiaomi EV.
|
| 56 |
|
| 57 |
+
---
|
| 58 |
+
|
| 59 |
## π₯ Highlights
|
| 60 |
|
| 61 |
- ποΈ A scalable simulation pipeline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert demonstrations.
|