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Odometry is the use of data from moving sensors to estimate change in position over time.

1
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equations in Wikipedia and solve for the state and odometry covariance matrix $P$ at every frame! This result (state, covariance) can be read by for example, the robot_localization package in ROS to fuse … several sets of data and get a better odometry approximation! P.S. I am not really sure if this is correct, but I hope someone can tell me if it is (or any mistakes that I may have done along the way!)! …
answered May 10 '17 by robotics enthusiast
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I have been looking around in the forums, but could not find any answer for how to go about getting the wheel odometry covariance matrix for a custom built planar robot (I found some posts related to … EKF, but could not find any clear solution). I need this in order to for e.g. fuse wheel odometry with other types of odometry, etc... I really would only need the covariance for the global planar …
asked May 2 '17 by robotics enthusiast