国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
Learn about occupancy perception in autonomous driving through an online course with resources like documents and videos.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
OccNet-Course has 780 stars on GitHub. It has been forked 92 times. OccNet-Course is written mainly in Python. It has been in active development since 2023. OccNet-Course is available under the BSD-3-Clause license. Its main topics are autonomous-driving, autonomous-vehicles, bev, end-to-end.
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
OccNet-Course is an open-source project. It is released under the BSD-3-Clause license.
Yes. OccNet-Course is free and open source — you can use, modify and self-host it.
OccNet-Course is available under the BSD-3-Clause license.
OccNet-Course is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/charmve-occnet-course.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.