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Merge pull request #22 from GihhArwtw/main 

Update some AD projects
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Tianxing Chen (陈天行) 2025-03-15 20:13:54 +08:00 committed by GitHub
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@ -102,7 +102,7 @@
## About us - 关于我们
我们是一个由具身初学者组成的团队, 希望能够通过我们自己的学习经验, 为后来者提供一些帮助, 加快具身智能的普及。欢迎更多朋友加入我们的项目, 也很欢迎交友、学术合作, 有任何问题, 可以联系邮箱`chentianxing2002@gmail.com`。
<p><b>🦉Contributors</b>: <a href="https://tianxingchen.github.io">陈天行 (深大BS)</a>, <a href="https://github.com/kxwangzju">王开炫 (25' 港大PhD)</a>, <a href="https://jiayueru.github.io/">贾越如 (北大Ms)</a >, <a href="https://metaphysicist0.github.io/">姚天亮 (25' 港中文PhD)</a>, <a href="https://c7w.tech/about/">高焕昂 (清华PhD)</a>, <a href="https://axi404.top/">高宁 (西交BS)</a>, <a href="https://github.com/guo-cq">郭常青 (清华Ms)</a>, <a href="https://shijiapeng03.github.io/">彭时佳 (深大BS)</a>, <a href="https://yudezou.github.io/">邹誉德 (25' 上交AILab联培PhD)</a>, <a href="">陈思翔 (25' 北大PhD)</a>, <a href="https://github.com/csyufei">朱宇飞 (25' 上科大Ms)</a>, <a href="https://github.com/LambdaGuard">韩翊飞 (清华Ms)</a>, <a href="https://hao-starrr.github.io/">王文灏 (宾大Ms)</a>, <a href="https://github.com/StarCycle">李卓恒 (港大PhD)</a>, <a href="https://github.com/Henry-lsy">梁升一 (港科广PhD)</a>, <a href="https://scholar.google.com/citations?user=azPXbWcAAAAJ&hl=en">林俊晓 (浙大Ms)</a>, <a href="https://gkw0010.github.io/">王冠锟 (港中文PhD)</a>, <a href="https://ngchikit.github.io">吴志杰 (港中文PhD)</a>, <a href="https://github.com/27yw">叶雯 (25' 中科院PhD)</a>, <a href="https://github.com/zanxinchen">陈攒鑫 (深大BS)</a>, <a href="https://hbhalpha.github.io">侯博涵 (山大BS)</a>, <a href="https://github.com/Scodive">江恒乐 (25‘ 南科大PhD)</a>, <a href="https://aaron617.github.io/">胡梦康 (港大PhD)</a>, <a href="https://liang-zx.github.io/">梁志烜 (港大PhD)</a>, <a href="https://yaomarkmu.github.io/">穆尧 (上交AP)</a>.</p>
<p><b>🦉Contributors</b>: <a href="https://tianxingchen.github.io">陈天行 (深大BS)</a>, <a href="https://github.com/kxwangzju">王开炫 (25' 港大PhD)</a>, <a href="https://jiayueru.github.io/">贾越如 (北大Ms)</a >, <a href="https://metaphysicist0.github.io/">姚天亮 (25' 港中文PhD)</a>, <a href="https://c7w.tech/about/">高焕昂 (清华PhD)</a>, <a href="https://axi404.top/">高宁 (西交BS)</a>, <a href="https://github.com/guo-cq">郭常青 (清华Ms)</a>, <a href="https://shijiapeng03.github.io/">彭时佳 (深大BS)</a>, <a href="https://yudezou.github.io/">邹誉德 (25' 上交AILab联培PhD)</a>, <a href="">陈思翔 (25' 北大PhD)</a>, <a href="https://github.com/csyufei">朱宇飞 (25' 上科大Ms)</a>, <a href="https://github.com/LambdaGuard">韩翊飞 (清华Ms)</a>, <a href="https://hao-starrr.github.io/">王文灏 (宾大Ms)</a>, <a href="https://github.com/StarCycle">李卓恒 (港大PhD)</a>, <a href="https://github.com/GihhArwtw">邱一航 (港大PhD)</a>, <a href="https://github.com/Henry-lsy">梁升一 (港科广PhD)</a>, <a href="https://scholar.google.com/citations?user=azPXbWcAAAAJ&hl=en">林俊晓 (浙大Ms)</a>, <a href="https://gkw0010.github.io/">王冠锟 (港中文PhD)</a>, <a href="https://ngchikit.github.io">吴志杰 (港中文PhD)</a>, <a href="https://github.com/27yw">叶雯 (25' 中科院PhD)</a>, <a href="https://github.com/zanxinchen">陈攒鑫 (深大BS)</a>, <a href="https://hbhalpha.github.io">侯博涵 (山大BS)</a>, <a href="https://github.com/Scodive">江恒乐 (25‘ 南科大PhD)</a>, <a href="https://aaron617.github.io/">胡梦康 (港大PhD)</a>, <a href="https://liang-zx.github.io/">梁志烜 (港大PhD)</a>, <a href="https://yaomarkmu.github.io/">穆尧 (上交AP)</a>.</p>
<a href="https://github.com/TianxingChen/Embodied-AI-Guide/graphs/contributors">
<img src="https://contrib.rocks/image?repo=TianxingChen/Embodied-AI-Guide" />
@ -618,17 +618,23 @@ CS231n (斯坦福计算机视觉课程): [website](https://cs231n.stanford.edu/s
1. 3D/4D 场景重建
* 经典论文：NSG, MARS, StreetGaussians
* https://openaccess.thecvf.com/content/CVPR2021/html/Ost_Neural_Scene_Graphs_for_Dynamic_Scenes_CVPR_2021_paper.html
* https://arxiv.org/abs/2307.15058
* https://arxiv.org/abs/2401.01339
* 经典工作：NSG, MARS, StreetGaussians, OmniRe
* **NSG**: CVPR 2021, [github](https://github.com/princeton-computational-imaging/neural-scene-graphs), [arxiv](https://arxiv.org/abs/2011.10379), [paper](https://openaccess.thecvf.com/content/CVPR2021/html/Ost_Neural_Scene_Graphs_for_Dynamic_Scenes_CVPR_2021_paper.html)
* **MARS**: [github](https://open-air-sun.github.io/mars/), [arxiv](https://arxiv.org/abs/2307.15058)
* **StreetGaussians**: [github](https://github.com/zju3dv/street_gaussians), [arxiv](https://arxiv.org/abs/2401.01339)
* **OmniRe**: ICLR 2025 Spotlight, [demo page](https://ziyc.github.io/omnire), [github](https://github.com/ziyc/drivestudio), [arxiv](https://arxiv.org/abs/2408.16760)
2. 场景可控生成(世界模型)
* 经典论文：MagicDrive -> MagicDriveDiT, SCP-Diff, UniScene
* https://arxiv.org/abs/2411.13807
* https://arxiv.org/abs/2403.09638
* https://arxiv.org/abs/2412.05435
* 经典工作：GAIA-1, GenAD（OpenDV数据集）, Vista, SCP-Diff, MagicDrive -> MagicDriveDiT, UniScene, VaVAM
* **GAIA-1**: [demo page](https://wayve.ai/thinking/introducing-gaia1/), [arxiv](https://arxiv.org/abs/2309.17080)
* **GenAD**: CVPR 2024 Highlight, OpenDV数据集, [github](https://github.com/OpenDriveLab/DriveAGI?tab=readme-ov-file#opendv), [arxiv](https://arxiv.org/abs/2403.09630)
* **Vista**: NeurIPS 2025, [demo page](https://opendrivelab.com/Vista), [github](https://github.com/OpenDriveLab/Vista), [arxiv](https://arxiv.org/abs/2405.17398)
* **SCP-Diff**: [demo page](https://air-discover.github.io/SCP-Diff/), [github](https://github.com/AIR-DISCOVER/SCP-Diff-Toolkit), [arxiv](https://arxiv.org/abs/2403.09638)
* **MagicDrive** -> MagicDriveDiT: [demo page](https://gaoruiyuan.com/magicdrive-v2/), [arxiv](https://arxiv.org/abs/2411.13807)
* **UniScene**: CVPR 2025, [demo page](https://arlo0o.github.io/uniscene/), [arxiv](https://arxiv.org/abs/2412.05435)
* **VaVAM**: [github](https://github.com/valeoai/VideoActionModel)
#### Policy：自动驾驶策略
@ -643,14 +649,14 @@ CS231n (斯坦福计算机视觉课程): [website](https://cs231n.stanford.edu/s
[理想端到端-VLM双系统](https://www.sohu.com/a/801987742_258768)
* 快系统经典论文：UniAD (CVPR 2023 Best Paper), VAD, SparseDrive, DiffusionDrive
* https://arxiv.org/abs/2212.10156
* https://arxiv.org/abs/2303.12077
* https://arxiv.org/abs/2405.19620
* https://arxiv.org/abs/2411.15139
* **UniAD**: CVPR 2023 Best Paper, [github](https://github.com/OpenDriveLab/UniAD), [arxiv](https://arxiv.org/abs/2212.10156)
* **VAD**: ICCV 2023, [github](https://github.com/hustvl/VAD), [arxiv](https://arxiv.org/abs/2303.12077)
* **SparseDrive**: [github](https://github.com/swc-17/SparseDrive), [arxiv](https://arxiv.org/abs/2405.19620)
* **DiffusionDrive**: CVPR 2025, [github](https://github.com/hustvl/DiffusionDrive), [arxiv](https://arxiv.org/abs/2411.15139)
* 快系统的 Scale up 特性探究：https://arxiv.org/pdf/2412.02689
* 慢系统经典论文：DriveVLM, EMMA
* https://arxiv.org/abs/2402.12289
* https://arxiv.org/abs/2410.23262
* **DriveVLM**: CoRL 2024, [arxiv](https://arxiv.org/abs/2402.12289)
* **EMMA**: [arxiv](https://arxiv.org/abs/2410.23262)
- **[Open-EMMA](https://github.com/taco-group/OpenEMMA)** 是EMMA的一个开源实现，提供了一个用于自动驾驶车辆运动规划的端到端框架。