A framework for inference in Dynamic Bayesian Networks
The Bayesian Filtering Library (BFL) 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, etc. These algorithms can, for example, be run on top of the Realtime Services, or be used for estimation in Kinematics & Dynamics applications.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.8.99-34.20190423gitcf72962.fc40 | - |
Fedora 40 | 0.8.99-34.20190423gitcf72962.fc40 | - |
Fedora 39 | 0.8.99-32.20190423gitcf72962.fc39 | - |
Fedora 38 | 0.8.99-29.20190423gitcf72962.fc38 | - |
EPEL 7 | 0.8.99-5.20160503gitc1b18e3.el7 | - |
You can contact the maintainers of this package via email at
orocos-bfl dash maintainers at fedoraproject dot org
.