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robot_pose_ekf : IMU frame and base_footprint rotates too much.

asked 2022-08-24 08:24:37 -0500

thomzem gravatar image

updated 2022-08-31 10:06:43 -0500

Hello everyone,

I am implementing an IMU (accelerometer, gyroscope and magnetometer) and want to fuse it with my odometry to optimize the odometry I'll then put in AMCL.

I use the robot_pose_ekf package and I put a low covariance on yaw orientation of the IMU to give it a lot of "weight" in the final estimation (given the magnetometer is a precise and absolute sensor) but it seems like when I rotate in place of an angle of 90°, my IMU_frame end up 90° away from my IMU_base frame (that is fixed to base_link frame) but my base_link ends up 270 ° away from my odom frame. As seen in this video : here Note that this is my imu_frame and imu_base frames seen within the odom frame (ixed frame in rviz).

This tf_tree shows you my current configuration : tf_tree. The base_footprint_odom is the one created from pure odom so I can can compare the two.

My Imu msgs are published in the imu_frame :

  seq: 15771
    secs: 1661346327
    nsecs: 523344384
  frame_id: "imu_frame"

The IMU tf is broadcast as follows :


    ROS_INFO("Publishing tf\n");

    tf_br.sendTransform(tf::StampedTransform(transform, current_time, "imu_base", "imu_frame"));

    imu_out.orientation.w=-imu_out.orientation.w; //needed so it's imu_base->imu_frame and not the opposite



My robot_pose_ekf launch file looks like this :


<node pkg="robot_pose_ekf" type="robot_pose_ekf" name="robot_pose_ekf">  
<param name="output_frame" value="odom"/>   
<param name="base_footprint_frame" value="base_footprint"/>   
<param name="freq" value="30.0"/>   
<param name="sensor_timeout" value="1.0"/>    
<param name="odom_used" value="true"/> 
<param name="imu_used" value="true"/>  
<param name="vo_used" value="false"/>

  <remap from="odom" to="/odom" />   
 <remap from="/imu_data" to="listener_cpp/imu/data_raw" /> </node>


If anyone has a solution or a suggestion on how to debug this issue, I'd be glad to hear it. Sincerely yours.

EDIT : My tf tree looks like that:










With the dynamic tf imu_base->imu_frame being computed from the orientation of my IMU (with imu_base as my fixed frame). Thomas

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What is imu_frame? Please tell us the transform frame names from odom to imu_base for your robot.

Mike Scheutzow gravatar image Mike Scheutzow  ( 2022-08-28 09:23:50 -0500 )edit

Why are you modifying the imu message orientation before publishing it to the imu_data topic? Is there something non-standard about the imu sensor?

Mike Scheutzow gravatar image Mike Scheutzow  ( 2022-08-31 21:16:06 -0500 )edit

Actually the orientation needed to be changed because my IMU (3dm-cv7 from Lord Microstrain) returned the orientation of the global frame in the sensor frame instead of the opposite. I just reverse it to have the right message I needed. The same is done with the tf I send but using the transform. inverse() function (prior in my code) . I am curious to know if there is any convention about these IMU relative frames.

thomzem gravatar image thomzem  ( 2022-09-01 03:02:39 -0500 )edit

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answered 2022-09-01 02:55:39 -0500

thomzem gravatar image

I actually found my error : the imu message I feed the Kalman filter was relative to the "imu_frame" instead of "imu_base". It means that when my Kalman filter uses the IMU message it considers the orientation variation in the imu_frame that is himself rotating around imu_base, hence the orientation going twice as far as it it should.

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If you have gotten the rough odometry results making sense, then the next thing I would check is whether or not the robot_pose_ekf compensates for an imu sensor that is not mounted at the robot's center of rotation.

Mike Scheutzow gravatar image Mike Scheutzow  ( 2022-09-01 06:21:00 -0500 )edit

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Asked: 2022-08-24 08:24:37 -0500

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Last updated: Sep 01 '22