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

Covariance of spatial detections #26

Open
hwgat opened this issue Aug 22, 2021 · 4 comments
Open

Covariance of spatial detections #26

hwgat opened this issue Aug 22, 2021 · 4 comments

Comments

@hwgat
Copy link
Contributor

hwgat commented Aug 22, 2021

Hi there,

I am currently using multiple OAK-d cameras on a mobile robot for pedestrian detection. I have used the Spatial Tiny-yolo example as a template and then publish detections on a ros topic using rosbridge.

The tracking package I am using requires geometry_msgs/PoseWithCovariance messages as an input. Is there a way to calculate the covariance of an OAK-d spatial detection?

Cheers,

@saching13
Copy link
Contributor

I don't think we have it. Let me cross check it and get back to you.

@jonathanleinola
Copy link

I am also interested in this!

@ninoweg
Copy link

ninoweg commented May 12, 2023

Has there been an update on this? I am using the internal Object Tracker and I would also be interested in obtaining the covariance of the Tracklets. Stating the documentation the tracker uses Kalman Filters, therefore this information should already be there

@saching13
Copy link
Contributor

Hello,
This comes from an internal fw from Mx where it doesn't come with an option to enable the covariance of the tracklets.

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

4 participants