GitHub - electricmomo/easykf: C++ Kalman filtering (Extended Kalman Filter, Unscented Kalman Filter)

electricmomo / easykf Public

forked from jeremyfix/easykf

Notifications You must be signed in to change notification settings
Fork 0
Star 0

C++ Kalman filtering (Extended Kalman Filter, Unscented Kalman Filter)

jeremyfix.github.io/easykf/

View license

0 stars 58 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
CMakeModules		CMakeModules
doc		doc
examples		examples
src		src
.gitignore		.gitignore
CMakeLists.txt		CMakeLists.txt
INSTALL		INSTALL
LICENSE		LICENSE
README		README
easykf.pc.cmake		easykf.pc.cmake
easykf.pc.in		easykf.pc.in

Repository files navigation

===============================================================================
                             EasyKF : C++ Kalman Filter library
                                 (c) Jeremy Fix 2011-2012
===============================================================================

EasyKF is a C++ library implementing the Extended Kalman Filter as well as the Unscented Kalman Filter. It is provided with several examples. Since easykf-2.1, Python bindings are provided.

I/ Installation
---------------

Please read INSTALL.

II/ Documentation
-----------------

The documentation is available from the doc/ directory.
The doxygen documentation is also available online on the github repository.

III/ How to contribute
----------------------

The library contains so far :
- Extended Kalman filter
- Unscented Kalman filter both for state/parameter estimation

The optimized version of the filters (e.g. Square Root UKF) are not implemented and would be a great contribution.