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If you want to include EKF sensor fusion in your own, non-ROS, project then you really should have a good understanding how Extended Kalman filters work. This library provides all the EKF functionality you need, you'll just need to set it up correctly to work with your inputs and system model.
This is the approach I would recommend.
Asked: 2019-02-08 04:22:57 -0500
Seen: 155 times
Last updated: Feb 08 '19
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How is this different to using the robot_localisation package normally as part of a ROS package? Do you mean you don't want to depend on the libraries?
i mean i dont want to use ROS dependencies and enviroment, i just want to use the EKF filter and ROS functions on my own IDE by cross compiling it and inlcuding the liberaries in my project to use all of this implementation functionalities, IF it is possible!
You'd be better off getting the source code for the robot_localization package crediting the authors correctly, and taking the EKF functionality you need and using that.
but is it possible doing it so? As i understand it is quite different concept of how nodes work and how EKF works and than it does sensor fusion, There isnt any explicit information of sensor fusion which i want to do through ekf (IMU+GPS), Any Leads?
Let's take a step back: @Mus007: what is it that you actually want to do? Is this it:
So you want to use the sensor fusion part of
robot_localizationin a non-ROS program?Yes, using EKF..
There are many good tutorials and open source implementations of extended kalman filters that would probably be a better place to start.
yeah i know but i needed 3 dimensional EKF with imu and gps fusion so i thought i could use them !
@gvdhoorn Yes along with ekf..