No version for distro humble showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro jazzy showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro kilted showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro rolling showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro ardent showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro bouncy showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro crystal showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro eloquent showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro dashing showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro galactic showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro foxy showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro iron showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro lunar showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
leg_detector | |
people_tracking_filter | |
robot_pose_ekf |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged bfl at Robotics Stack Exchange
No version for distro noetic showing jade. Known supported distros are highlighted in the buttons above.
Package Summary
Tags | No category tags. |
Version | 0.8.0 |
License | LGPL |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/ros-gbp/bfl-release.git |
VCS Type | git |
VCS Version | upstream |
Last Updated | 2019-02-09 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
This package contains a recent version of the Bayesian Filtering
Library (BFL), distributed by the Orocos Project. For stability
reasons, this package is currently locked to revision 31655 (April
19, 2010), but this revision will be updated on a regular basis to
the latest available BFL trunk. This ROS package does not modify
BFL in any way, it simply provides a convenient way to download and
compile the library, because BFL is not available from an OS package
manager. This ROS package compiles BFL with the Boost library for
matrix operations and random number generation.
Additional Links
Maintainers
- ROS Orphaned Package Maintainers
Authors
- Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
$Id$
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne <first dot last at gmail dot com>
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
<http://www.robots.ox.ac.uk/~ajd/Scene/>
- Bayes++ (from ACFR). See
<http://www.acfr.usyd.edu.au/technology/bayesianfilter/Bayes++.htm>
- The CES programming library (Sebastian Thrun). See
<http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/thrun/public_html/papers/thrun.ces-tr.html>
- Our own research with Bayesian methods for compliant motion problems
<http://www.mech.kuleuven.be/pma/research/manip/default_en.phtml>
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
<http://ltilib.sourceforge.net/doc/homepage/index.shtml>: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT <http://www.robertnz.net/nm_intro.htm> Matrix Library
=================================================
* boost <http://www.boost.org/> RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
<http://people.mech.kuleuven.ac.be/~tlefebvr/publicaties/BayesStat.ps.gz>
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
<http://people.mech.kuleuven.ac.be/~kgadeyne/doctoraat.html>
Also have a look at the filtering libraries home page
<http://www.orocos.org/bfl>
Tinne De Laet Contributed a tutorial which can be found on the
website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/getting_started_guide/getting_started_guide.html>
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
<http://people.mech.kuleuven.be/~tdelaet/bfl_doc/installation_guide/installation_guide.html>
CHANGELOG
No CHANGELOG found.
Wiki Tutorials
This package does not provide any links to tutorials in it's rosindex metadata.
You can check on the ROS Wiki Tutorials page for the package.
Dependant Packages
Name | Deps |
---|---|
robot_pose_ekf | |
leg_detector | |
people_tracking_filter |
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.