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After global_localization service called the initial particle is scattered everywhere with random heading. I have very good IMU compass say with 5 degrees error. My robot need to localize quickly so how to optimize particle filter by eliminating particles that differ more than 5 degrees from compass heading?
You may be able to achieve this by setting the initial_pose_a and initial_cov_aa parameters described on the AMCL wiki page before starting the AMCL node. Obviously you'll need to choose a covariance (in radians) that corresponds to your compass's heading accuracy in order to generate the correct distribution of headings in the particle cloud.
Thank you for your answer. After few step from global_localization the particles start sticking together and make some groups. Often this group has different orientation to from another and only view match the compass heading. Can you give me a hint about how to filter the wrong particles groups?
I am ask this following question because initial_pose_a and initial_cov_a seems only cover initial particles.
I am not sure AMCL supports the general case of getting absolute heading from a sensor when doing online localization. I suggest you read the AMCL source code. You may need to modify the source code for AMCL if you want to filter particles by orientation during every update.
Asked: 2018-07-10 19:58:35 -0600
Seen: 369 times
Last updated: Jul 10 '18
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