EKF dosen't work perfectly

asked 2014-02-07 03:52:29 -0500

Mahyar
18 ●4 ●5 ●6

when i launch exf for my /odom data , the results are the same of input this is my lunch file :

<launch>

<node pkg="robot_pose_ekf" type="robot_pose_ekf" name="robot_pose_ekf">
  <param name="output_frame" value="odom_combined2"/>
  <param name="freq" value="50.0"/>
  <param name="sensor_timeout" value="1.0"/>  
  <param name="odom_used" value="true"/>
  <param name="imu_used" value="false"/>
  <param name="vo_used" value="false"/>
  <param name="debug" value="false" />
  <param name="self_diagnose" value="true" />
</node>

</launch>

all of my topices are:

/base_odometry/odometer
/base_odometry/state
/base_scan
/clock
/odom
/robot_pose_ekf/odom_combined
/rosout
/rosout_agg
/tf
/tilt_scan
/torso_lift_imu/data
/torso_lift_imu/is_calibrated

first of all, i launch ekf file and then use this rosbag play 2011-04-11-07-34-27.bag /base_odometry/odom:=/odom --clock command to run my dataset.

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thank you, my gole is fusing /odom and /vo , but i read kalman could increase accuracy of data even for one sensor, so i started for /odom, but the result of /odom_combined is the same of /odom. do you have any idea?

Mahyar ( 2014-02-07 04:26:43 -0500 )edit

That's not how Kalman filters work. With only one data source, at best, you get the same data out. At worst you can achieve a "smoothed" laggy output version of your original data (depending on your update model and process/sensor noise values).

Chad Rockey ( 2014-02-07 05:29:14 -0500 )edit

That's assuming you're filtering on variables you're directly measuring. Kalman filters are also very good at measuring "hidden" values. For instance, calculating accelerations from GPS or velocity commands. Or estimating model parameters from output data (battery time until full while charging).

Chad Rockey ( 2014-02-07 05:31:55 -0500 )edit

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