You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
first of all, fantastic work. I tested this and got very good results (much better than RF2O)
I wonder which are your thought about defining a covariance matrix, to allow a EKF algorithm to fuse this odometry with another one (wheels).
As it could be expected, this method fails in the case of a long corridor with no features. This is obvious and I don't think we can/should do anything about that. But it would be interesting to detect this at run-time and update the covariance matrix accordingly.
What do you think?
The text was updated successfully, but these errors were encountered:
Hi,
first of all, fantastic work. I tested this and got very good results (much better than RF2O)
I wonder which are your thought about defining a covariance matrix, to allow a EKF algorithm to fuse this odometry with another one (wheels).
As it could be expected, this method fails in the case of a long corridor with no features. This is obvious and I don't think we can/should do anything about that. But it would be interesting to detect this at run-time and update the covariance matrix accordingly.
What do you think?
The text was updated successfully, but these errors were encountered: