BFL was born during the PhD research of Klaas Gadeyne (See
http://people.mech.kuleuven.be/~kgadeyne/). Through an analysis
of the general Bayesian framework underneath the above mentioned
Bayesian filters, he designed the state estimation software
framework/library BFL, containing support for different filters (in
particular Sequential Monte Carlo methods and Kalman filters, but also
e.g. grid based methods) and easily extendible towards other Bayesian
methods. Late 2001, BFL was released as an open source project, and is
since then slowly growing and maturing.
fiep
2010-10-28
