2024 各家bev-occ方案进展

<img align="left" width="240px" src="https://github.com/Charmve/OccNet-Course/assets/29084184/ef4ddd1f-7ad0-4f05-9eae-a219c7a24b47">

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<img align="right" lable="IMG_2906" width="260px" src="https://github.com/Charmve/OccNet-Course/assets/29084184/6634136d-4912-4475-a8c5-bbb668cf3af9">

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<img align="" lable="IMG_2942" width="300px" src="https://github.com/Charmve/OccNet-Course/assets/29084184/e063bfed-5842-43ac-ab10-a578898db4a1">

https://weiyithu.github.io/SurroundOcc/videos/demo4.mp4

<img align="" lable="IMG_2871"  src="https://github.com/Charmve/OccNet-Course/assets/29084184/0614e449-9409-4401-9591-f62a3a84a7d9">

![IMG_2332](https://github.com/Charmve/OccNet-Course/assets/29084184/93f37e06-cc70-43ce-bf5d-74ab81651ed9)

## 极越01
- :fire: [极越与百度 Apollo 联合研发「占用网络」模型 DEMO 首秀](https://www.bilibili.com/video/BV1684y1d772/)
- [纯视觉“通吃”：百度OCC网络上车！](https://www.bilibili.com/video/BV1ne411178x)
- [极越01纯视觉OCC占用网络上车，体验如何？](https://www.bilibili.com/video/BV1Pk4y1X74z)


https://github.com/Charmve/OccNet-Course/assets/29084184/147eef50-cf8b-4718-9398-ccfd1e02fcd6

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				<img lable="占用网络模型 DEMO 首秀" src="https://github.com/Charmve/OccNet-Course/assets/29084184/a1be9179-91b4-4339-8146-b7d62bac2e3b">
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<img lable="IMG_0103" src="https://github.com/Charmve/OccNet-Course/assets/29084184/454e3873-c5e5-4113-89d9-ccc99d540caf">
<img lable="image" src="https://github.com/Charmve/OccNet-Course/assets/29084184/b05b3633-840c-4894-bcc8-c10b33c2e4f5">

## 理想

- [理想城市 NOA 首发体验！挑战望京地狱级路段！](https://www.bilibili.com/video/BV1TM4y1J7UF)

https://github.com/Charmve/OccNet-Course/assets/29084184/90657b04-d541-48d3-8a9c-63aefd2acc98

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## 华为 问界M5

- [华为高阶智驾视觉团队技术专家讲解GOD网络【首发车型问界M5智驾版】](https://www.bilibili.com/video/BV1GX4y1Y7K2)
- [智能汽车黑科技！华为余承东：GOD网络，激光、毫米波、视觉融合的异形障碍物识别，让安全领先一步](https://www.bilibili.com/video/BV15u41177Qa)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/099877e6-2753-40c7-83af-1c81dd45d2a0)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/66fda9a7-4df1-44c7-bf66-2bd603699758)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/1cb458dd-398c-45f2-b1ad-399db5e885ad)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/d04ae808-944e-44ab-b59c-dad3adb92bb3)

##  蔚来

[GOA](https://video.weibo.com/show?fid=1034:4994346534240284): 包括锥桶、水马、石墩、纸箱、马车，甚至雨天打伞时身体轮廓被部分遮挡的行人，都可以准确识别。

##  商汤绝影

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/dec4d310-01cb-4d0f-9e85-a2cb0e45ec5f)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/988bfdd5-03f7-4972-81ec-a252e6dcc0cb)

##  上汽飞凡

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/a6bfadf9-5cd0-431f-be66-2fb92e25df7d)

##  嬴彻

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/5972336f-a093-4d23-9e08-9c6671abc6c6)


## ZOOX

- [ZOOX 柯伊特塔非结构化环境演示 / 2021.Mar | Fully Autonomous Driving to Coit Tower](https://www.bilibili.com/video/BV1zy4y1x7m3)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/f7ff1053-ad50-40bd-b902-d0724131ab01)

# end-to-end

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/1de63393-9d35-4b84-814f-ad96296de817)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/0c6aa9e2-64ea-4aff-93d7-494e4d5077af)

<img align="" lable="IMG_3050"  src="https://github.com/Charmve/OccNet-Course/assets/29084184/46b23d31-923b-443b-bff9-b5a657050591">

## Tesla

- [特斯拉 FSD V12 处理超复杂停车场，端到端真的太强大了](https://www.bilibili.com/video/BV1j4421c7pK)
- [特斯拉自动驾驶 FSD V12 处理双车道环岛，6 次尝试无接管无帮踩油门介入，这表现完美无缺](https://www.bilibili.com/video/BV1Lr421W7B8)
- [特斯拉 FSD V12 首次路测](https://www.bilibili.com/video/BV1Z6421M797)
- [FSD V12 超自然掉头！特斯拉：从未专门优化](https://www.bilibili.com/video/BV1Qt42187dT)

## related work
- [「自动驾驶」优步提出：集地图、感知、预测和规划的统一模型 | CVPR2021](https://www.bilibili.com/video/BV1tQ4y1k7BX)
- VAD
> share myself 
> 

https://github.com/Charmve/OccNet-Course/assets/29084184/ac1bb0c6-f45a-4036-9439-50ce692d33b5

# bev-occ 数据标注

- 集度
![image](https://github.com/Charmve/OccNet-Course/assets/29084184/21efef15-2277-4459-921a-3b1e2d8d689d)

- 地平线

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/771819b0-0d7c-4a8f-bd01-234fe8ea0a84)

![image](https://github.com/Charmve/OccNet-Course/assets/29084184/525f785f-9880-4fac-bcf7-b6fa861bf4ba)

- 

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2024 各家bev-occ方案进展 #7

极越01

理想

华为问界M5

蔚来

商汤绝影

上汽飞凡

嬴彻

ZOOX

end-to-end

Tesla

related work

bev-occ 数据标注

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Assignees

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2024 各家bev-occ方案进展 #7

Description

极越01

理想

华为 问界M5

蔚来

商汤绝影

上汽飞凡

嬴彻

ZOOX

end-to-end

Tesla

related work

bev-occ 数据标注

Metadata

Metadata

Assignees

Labels

Projects

Milestone

Relationships

Development

Issue actions

华为问界M5