Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

yolo是怎么参与到动态物体去除的这个过程中? #4

Open
SonwYang opened this issue Oct 18, 2024 · 4 comments
Open

yolo是怎么参与到动态物体去除的这个过程中? #4

SonwYang opened this issue Oct 18, 2024 · 4 comments

Comments

@SonwYang
Copy link

我有注意到BoxCallback,但是我没理解这里面的结果,是怎么用于动态物体去除的,能否给一些细节提示?在此非常感谢。

@Yixin-F
Copy link
Owner

Yixin-F commented Oct 18, 2024

你好,yolo只是通过image识别潜在动态物体如车辆等,然后给出pixel-wise boundingbox,这样可以将该box内的点云直接抹去,具体可参考原版代码https://github.com/JS-622/YOLO-fast-lio-sam,其实在本repo,我们并没有特别关注yolo的检测任务,只是把它当作一个备用module。为了真正的去处移动的动态物体,我们使用的scv-od 可参考[ttps://github.com/Yixin-F/DR-Using-SCV-OD](https://github.com/Yixin-F/DR-Using-SCV-OD).

@SonwYang
Copy link
Author

好嘞,感谢您的回答。另外我想问下,在lidar slam上去除伪静态物体,比如停放的车辆、暂时站立不动的人,这个方向有比较好的论文推荐么

@Yixin-F
Copy link
Owner

Yixin-F commented Oct 18, 2024

客气了。对于这个方向我并不是很了解。感觉你所提及的这个任务更需要使用针对于分割或识别的network去实现,这跟slam就不再是一个赛道了,可以看些3d detection的文章。

@SonwYang
Copy link
Author

好滴,谢谢。

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants