Updated all instances of "Ref:" to "Reference" for consistency in both code and documentation. This change improves clarity and aligns with standard terminology practices.
* Addition of velocity scale factor estimation to EKF
* Format
* Add a scale factor motion model in the Jacobian function description
* Fix Jacobian function description
* New script: 'ekf_with_velocity_correction.py'
* Add doc
* Fix doc
* Correct the parts where the first letter of the sentence is lowercase
* Fix doc title
* Fix script title
* Do grouping
* Fix wrong motion function in ekf doc
* Update docs/modules/localization/extended_kalman_filter_localization_files/extended_kalman_filter_localization_main.rst
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Co-authored-by: Atsushi Sakai <asakai.amsl+github@gmail.com>
* switched to using utils.angle_mod()
* switched to using utils.angle_mod()
* renamed mod2pi to pi_2_pi
* Removed linting errors
* switched to using utils.angle_mod()
* switched to using utils.angle_mod()
* renamed mod2pi to pi_2_pi
* Removed linting errors
* annotation changes and round precision
* Reverted to mod2pi
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Co-authored-by: Videh Patel <videh.patel@fluxauto.xyz>
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* Test code clean up
* More intuitive way of plot_covariance_ellipse() in EKF and UKF
* Add the same changes in UKF as well
* Modified rotation matrix to scipy.spatial.transform.Rotation
* Modified angle of covariance matrix
* Fixed typos
- changed resampling function so that it chooses random number once for the starting point.
- condition check is moved from the inside of the resampling function
to the outside of the function, this way the purpose of the
function is much clear. Instead "resampling" every iteration,
resample if the condition holds.
