The Bayesian Filtering Library (BFL) [ref] provides an application independent framework for inference in Dynamic Bayesian Networks, i.e., recursive information processing and estimation algorithms based on Bayes' rule, such as (Extended) Kalman Filters, Particle Filters (or Sequential Monte Carlo methods), etc. These algorithms can, for example, be run on top of the Realtime Services, or be used for estimation in Kinematics & Dynamics applications.

This page needs to be rewritten from its deprecated brother/sister. Please help and send your fancy BFL application to the Mailinglist.

Please use the following BibTeX entry when referring to BFL:

@Misc{ bfl-url,
author = {Gadeyne, Klaas},
title = {{BFL}: {B}ayesian {F}iltering {L}ibrary},
year = {2001},
howpublished = {\url{http://www.orocos.org/bfl}},
}


The current tree (since november 2004) doesn't contain the matrix
wrapper code anymore, it has been moved to a separate "project". So now you have to get both subdirs as described below.

svn co http://svn.mech.kuleuven.be/repos/actsens/software/bfl/trunk bfl-trunk
svn co http://svn.mech.kuleuven.be/repos/actsens/software/wrapper/matrix/trunk/ matrixwrapper-trunk

Installation instructions are found in the INSTALL file or the Getting Started Guide.