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

Can it be applied to the waymo dataset? #29

Open
Wata-Brian opened this issue Mar 13, 2023 · 3 comments
Open

Can it be applied to the waymo dataset? #29

Wata-Brian opened this issue Mar 13, 2023 · 3 comments

Comments

@Wata-Brian
Copy link

I'm using centerpoint using waymo dataset.
I haven't used the nuscence dataset
Is it difficult to apply MVP to the waymo dataset?
Is it possible to just use it as a different parameter value?

@tianweiy
Copy link
Owner

tianweiy commented Mar 13, 2023

I briefly tried this two years ago but didn't manage to get good results back then. I guess it needs a bit more bells and whistles.

On the other hand, I do noticed a few papers on the similar direction e.g. https://github.com/hailanyi/VirConv (also check the papers that cite MVP).

@yangyt37
Copy link

The reason why I don't think it can achieve good results in waymo is that waymo uses 64 line lidar, which already has sufficient front attractions. Continuing to add virtual points may not be enough for 32 line nuscenes. Similarly in kitti datasets, if you have any understanding, please correct it!

@tianweiy
Copy link
Owner

tianweiy commented Mar 23, 2023

yeah, I think this is the main reason. Though I think there are a few more consideration , for instance https://github.com/LittlePey/SFD and https://github.com/hailanyi/VirConv also use virtual points and work on kitti. from my understanding, the main difference is the place we do the fusion (sfd does it during roi refinement stage) and the modules we use to fuse virtual and real points (sfd / virconv gets more complex and better one)

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

3 participants