No version for distro humble showing jade. Known supported distros are highlighted in the buttons above.
Package symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
indigo

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.

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 symbol

bfl package from bfl repo

bfl

ROS Distro
hydro

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.

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 symbol

bfl package from bfl repo

bfl

ROS Distro
kinetic

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
melodic

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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 symbol

bfl package from bfl repo

bfl

ROS Distro
jade

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.

Package Dependencies

Deps Name
ros
catkin

System Dependencies

Name
cppunit
cmake

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