EKF for localization given a MAP

I'm starting to use the map obtained from de Gmapping with the objective of fusing this data with laser scan and odometry to make my robot localization using an EKF approach.

I search for an existing package without success, can you give me more information about this? Some examples or ideas?

Asked by Karel Wosiack on 2016-03-27 18:52:44 UTC

Comments

Answers

Assuming that you specifically want to use an EKF-based approach and not just a particle filter with Monte Carlo localization like amcl, you could for instance use the EKF (or UKF) implementations in the robot_localization package to fuse your existing source of odometry with another odometry estimate made by a scan matcher like laser_scan_matcher.

Note that unless you have specific instructions not to use amcl, I would give it a try first since it is the most widely used localization tool for LIDAR+odometry robots with ROS.

Edit : If you want to use an existing map, you indeed need a scan-to-map matcher. Then robot_localization can help fuse the estimate of the scan-to-map matcher with your odometry using an EKF. But I am afraid I don't know about individual ROS packages providing a scan-to-map matching feature in isolation, you would have to look at how it is implemented in the various localization/SLAM packages out there.

Asked by al-dev on 2016-03-28 12:11:46 UTC

Comments

Yes, I specifically want to use an EKF-based approach. I want to do localization as made by the AMCL but using one EKF approach. I want to use the map information too, and as I can see the laser_scan_matcher doesn't use it. Do you know any existing approach that does it?

Asked by Karel Wosiack on 2016-03-28 16:49:27 UTC

unless you are not allowed to use AMCL, I would recommend using AMCL with an odometry source and then, if you want, fusing them together using an EKF like robot_localization (I know this is a year old, but I wanted to answer this for anyone who looks at this question later)

Asked by tb12 on 2017-02-27 14:47:32 UTC