Kalman is a cross-platform library implementing an Extended Kalman Filter in C++. Library provides configurable template classes. Subclassing allows to define different matrix contents for the filter to work with. Kalman filters are used for some time now, in aeronautics, robot vision and robotics in general. It is useful to estimate a state vector and correct the estimation by using measures taken from sensors.

There are several ways to contribute to Kalman project:

• Submit bugs and help me verify fixes.
• Review the source code changes.
• Read and update documentation files.

• Documentation reference

• Include library files in any C++ project.
• Use C++ template classes in your code.