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If there are two statistically independent IMU, say IMU A, and IMU B. Then the IMU can be used in the odometry message.

For example, use IMU A and encoders to construct the odometry message. Then use EKF to fuse the odometry with IMU B, it actually would perform better than only use encoders to construct the odometry message.

If there are two statistically independent IMU, IMUs, say IMU A, and IMU B. Then the IMU can be used in the odometry message.

For example, use IMU A and encoders to construct the odometry message. Then use EKF to fuse the odometry with IMU B, it actually would perform better than only use encoders to construct the odometry message.

If there are two statistically independent IMUs, say IMU A, and IMU B. Then the one IMU can be used in the odometry message.

For example, use IMU A and encoders to construct the odometry message. Then use EKF to fuse the odometry with IMU B, it actually would perform better than only use encoders to construct the odometry message.

If there are two statistically independent IMUs, say IMU A, and IMU B. Then one IMU can be used in to create the odometry message.

For example, use IMU A and encoders to construct the odometry message. Then use EKF to fuse the odometry with IMU B, it actually would perform better than only use encoders to construct the odometry message.

If there are two statistically independent IMUs, say IMU A, and IMU B. Then one IMU can be used to create the odometry message.

For example, use IMU A and encoders to construct the odometry message. Then use EKF to fuse the odometry with IMU B, it actually the final localization would perform better than only use encoders to construct the odometry message.