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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,
The text was updated successfully, but these errors were encountered:
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
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,
The text was updated successfully, but these errors were encountered: