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Does robot_localization account for orientation in linear acceleration?

asked 2016-03-10 15:56:16 -0500

andrewhintz gravatar image

I've built a GPS/IMU device based on the Arduino 10-DOF breakout board, and have a question regarding feeding the data into the robot_localization ekf. At present this unit uses the XYZ accelerometers and magnetometers to determine roll, pitch, and heading. I would like to feed in the XYZ accelerometers as well, but am curious if the acceleration is getting doubly handled?

For example, my INU message looks like:

  seq: 871289
    secs: 1457646520
    nsecs: 937000000
  frame_id: inu
  x: 0.0673696058881
  y: -0.336867507998
  z: -0.479866940137
  w: -0.807285165243
orientation_covariance: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
  x: 0.0
  y: 0.0
  z: 0.0
angular_velocity_covariance: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
  x: -0.039227
  y: 1.176798
  z: 10.15969
linear_acceleration_covariance: [45.0, 0.0, 0.0, 0.0, 45.0, 0.0, 0.0, 0.0, 45.0]

do I need to correct out the acceleration so that the only acceleration is in the z axis (the unit is sitting motionless on my desk)?

The question arises from the fact that I have really noisy outputs in my /odometry/filtered topic, and while I haven't tuned the covariance matrices yet (still learning the best way to do this), my filtered GPS keeps going way off (like 2 degrees lat/lon) when it's sitting stationary.

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answered 2016-04-29 07:06:57 -0500

Tom Moore gravatar image

Right now, we aren't accounting for biases in sensor data, but it's something we will be adding.

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Asked: 2016-03-10 15:56:16 -0500

Seen: 234 times

Last updated: Apr 29 '16