For installation instructions, read INSTALL.txt. To use the kalman classes : #include "kalman/ekfilter.hpp" Don't forget to link the .a (-lkalman) on UNIX/Linux or the .lib on Windows. The include path must be accessible (nothing to do on UNIX/Linux, set the include path on Windows). HTML documentation (with a code example and procedure) is located in doc/public/html/index.html. If you wish to have documentation for private members too, use doc/private/html/index.html. Samples combining matlab files and C++ are available in the 'samples' directory. For further information, go to the SourceForge project website : http://kalman.sourceforge.net Or contact Vincent Zalzal : vincent.zalzal@gmail.com
tiagoshibata/KFilter
Fork of KFilter Extended Kalman Filter library with fixes (http://sourceforge.net/projects/kalman/)
C++