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I placed my drone on a table (i.e, at rest) and save (using a ROS topic) the IMU readings:

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As you can see, there's a lot of drift or error. I would expect the $x$ and $y$ acceleration to be 0 (I know about the drift, but this is not something that keeps growing, it just has a bias) and $z$ 9.8. What could happen? Before I measure everything, I called the topic flattrim. And I would expect also a better performance for the gyroscope

What can I do to make if work better?

The funny thing is that the velocities (I suppose it integrates the accelerometer readings) are noisy, but their mean is approximately 0:

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The covariance matrix is 0 for everything

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  • $\begingroup$ What drone do you have? $\endgroup$ – Ralff May 22 '20 at 1:02
  • $\begingroup$ @Ralff I have an AR.Drone 2.0 from Parrot $\endgroup$ – Unnamed May 26 '20 at 15:00
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The acceleration raw data looks weird, because of the discrete jumps. For comparison here is raw data from a stationary MPU-9150 (MEMS IMU): raw data The raw accelerometer and gyroscope data are not integrated, and thus should not experience integration drift. The roll and pitch are integrated quantities, which then follow a random walk, and could end up anywhere.

Other error sources may be the following: Depending on the dynamic range, you may see different quantization levels, such as in the gyro raw data. There might also be a slowly time-varying bias, such as in the y-axis of the accelerometers.

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