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lennarthaller avatar lennarthaller commented on July 26, 2024

Because feeding the orb slam visual odometry to the sensor fusion algorithms like EKF in robot_localization package is not a solution, as I cannot make it as an absolute position that will make the covariances to collapse.

I don't think I understand what you mean here. What is your ultimate goal? Do you really want to improve your wheel odometry or do you want to get a good position estimate of your robot?

If it is the latter I'd suggest leaving the odometry as it is and extending the pose publisher of orb_slam_2_ros to publish a PoseWithCovarianceStamped which can be consumed by the robot_localization package.

from orb_slam_2_ros.

abylikhsanov avatar abylikhsanov commented on July 26, 2024

from orb_slam_2_ros.

abylikhsanov avatar abylikhsanov commented on July 26, 2024

Ok, I can see that it publishes the covariance. One question, where exactly does the Tracking thread store the position values? Because I am planning to store some wheel odometry values and use them whenever the visual will be lost.

from orb_slam_2_ros.

Ador2 avatar Ador2 commented on July 26, 2024

Tcw is 4x4 transformation matrix (camera frame to world frame), first 3x3 elements are the rotation matrix and elements(rows(1,2,3), column(4)) are x,y,z translations respectively.

from orb_slam_2_ros.

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