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You would use ekf_robot_pose (or the newer more flexible robot_localization) package to fuse together odometry data such as with wheel odometry, imu, gps, etc

Then you would use amcl to compensate for drift in the odometry by estimating pose in relation to your static map (/odom->/map tf).

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