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You can use the robot_localization package to continuously fuse wheel odometry and IMU data using an Extended Kalman Filter. The wiki is very informative and you can get started without too many complications. You want to look at how to prepare your data and configuring the package for your use.
Asked: 2021-03-02 12:06:20 -0600
Seen: 135 times
Last updated: Mar 03 '21
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Could you be more specific? What robot are you working with? What sensors do you have available?
I have the Leo Rover.
No sensors.
Well, you will need some sensors to give you some location update. Maybe wheel encoders or IMU's. Maybe a camera for visual information. There are several ros packages that will let you perform SLAM and even packages that will let you fuse multiple sensors together. But you need to select appropriate sensors based on your application. We can't help you with that
I have wheel encoders and IMU
do you have an example
Sorry. You have to try it for yourself and ask specific questions/errors you might encounter.