Package Summary

Tags No category tags.
Version 1.15.2
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ros-planning/navigation.git
VCS Type git
VCS Version lunar
Last Updated 2018-12-07
Dev Status MAINTAINED
Released RELEASED

Package Description

The Robot Pose EKF package is used to estimate the 3D pose of a robot, based on (partial) pose measurements coming from different sources. It uses an extended Kalman filter with a 6D model (3D position and 3D orientation) to combine measurements from wheel odometry, IMU sensor and visual odometry. The basic idea is to offer loosely coupled integration with different sensors, where sensor signals are received as ROS messages.

Additional Links

Maintainers

  • David V. Lu!!
  • Michael Ferguson
  • Aaron Hoy

Authors

  • Wim Meeussen
  • contradict gmail.com
README
No README found. See repository README.
CHANGELOG

Changelog for package robot_pose_ekf

1.15.2 (2018-03-22)

  • Merge pull request #673 from ros-planning/email_update_lunar update maintainer email (lunar)
  • Fixes #313 (Lunar) (#655)
  • Merge pull request #649 from aaronhoy/lunar_add_ahoy Add myself as a maintainer.
  • Contributors: Aaron Hoy, David V. Lu!!, Michael Ferguson

1.15.1 (2017-08-14)

1.15.0 (2017-08-07)

  • convert packages to format2
  • Fix CMakeLists + package.xmls (#548)
  • Initialization of filter with GPS and odometry.
  • Contributors: Martin G

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Recent questions tagged robot_pose_ekf at answers.ros.org

Package Summary

Tags No category tags.
Version 1.14.4
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ros-planning/navigation.git
VCS Type git
VCS Version kinetic-devel
Last Updated 2018-12-07
Dev Status MAINTAINED
Released RELEASED

Package Description

The Robot Pose EKF package is used to estimate the 3D pose of a robot, based on (partial) pose measurements coming from different sources. It uses an extended Kalman filter with a 6D model (3D position and 3D orientation) to combine measurements from wheel odometry, IMU sensor and visual odometry. The basic idea is to offer loosely coupled integration with different sensors, where sensor signals are received as ROS messages.

Additional Links

Maintainers

  • David V. Lu!!
  • Michael Ferguson
  • Aaron Hoy

Authors

  • Wim Meeussen
  • contradict gmail.com
README
No README found. See repository README.
CHANGELOG

Changelog for package robot_pose_ekf

1.14.4 (2018-06-19)

  • Merge pull request #713 from garethellis0/kinetic-devel Added handling for NaN linear.z components of GPS in robot_pose_ekf Added a check in odom_estimation_node.cpp that checks if linear.z values in the GPS odom message are NaN (something common in such messages), and if so, sets it to 0, and sets the corresponding variance to a very high value so we ignore it.
  • Contributors: Gareth Ellis, Michael Ferguson

1.14.3 (2018-03-16)

  • Merge pull request #672 from ros-planning/email_update_kinetic update maintainer email (kinetic)
  • Fixes #313 (kinetic) (#654)
  • Merge pull request #648 from aaronhoy/kinetic_add_ahoy Add myself as a maintainer.
  • added message_generation to build deps to prevent failing generation of GetStatus, MakeNavPlan and SetCostmap (#640)
  • Contributors: Aaron Hoy, David V. Lu!!, Leroy R

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Recent questions tagged robot_pose_ekf at answers.ros.org

Package Summary

Tags No category tags.
Version 1.12.16
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ros-planning/navigation.git
VCS Type git
VCS Version indigo-devel
Last Updated 2018-10-17
Dev Status MAINTAINED
Released RELEASED

Package Description

The Robot Pose EKF package is used to estimate the 3D pose of a robot, based on (partial) pose measurements coming from different sources. It uses an extended Kalman filter with a 6D model (3D position and 3D orientation) to combine measurements from wheel odometry, IMU sensor and visual odometry. The basic idea is to offer loosely coupled integration with different sensors, where sensor signals are received as ROS messages.

Additional Links

Maintainers

  • David V. Lu!!
  • Michael Ferguson
  • Aaron Hoy

Authors

  • Wim Meeussen
  • contradict gmail.com
README
No README found. See repository README.
CHANGELOG

Changelog for package robot_pose_ekf

1.12.16 (2018-06-19)

1.12.15 (2018-03-20)

  • Merge pull request #671 from ros-planning/email_update_indigo update maintainer email (indigo)
  • Fixes #313 (indigo) (#653)
  • Merge pull request #647 from aaronhoy/indigo_add_ahoy Add myself as a maintainer.
  • Contributors: Aaron Hoy, David V. Lu!!, Michael Ferguson

1.12.14 (2017-12-19)

  • Fix CMakeLists + package.xmls (#548)
  • Contributors: Martin G

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Recent questions tagged robot_pose_ekf at answers.ros.org

Package Summary

Tags No category tags.
Version 1.13.1
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ros-planning/navigation.git
VCS Type git
VCS Version jade-devel
Last Updated 2017-08-01
Dev Status MAINTAINED
Released RELEASED

Package Description

The Robot Pose EKF package is used to estimate the 3D pose of a robot, based on (partial) pose measurements coming from different sources. It uses an extended Kalman filter with a 6D model (3D position and 3D orientation) to combine measurements from wheel odometry, IMU sensor and visual odometry. The basic idea is to offer loosely coupled integration with different sensors, where sensor signals are received as ROS messages.

Additional Links

Maintainers

  • David V. Lu!!
  • Michael Ferguson

Authors

  • Wim Meeussen
  • contradict gmail.com
README
No README found. See repository README.
CHANGELOG

Changelog for package robot_pose_ekf

1.13.1 (2015-10-29)

1.13.0 (2015-03-17)

1.12.0 (2015-02-04)

  • update maintainer email
  • Contributors: Michael Ferguson

1.11.15 (2015-02-03)

  • Fix bfl includes in robot_pose_ekf
  • Contributors: Jochen Sprickerhof

1.11.14 (2014-12-05)

1.11.13 (2014-10-02)

1.11.12 (2014-10-01)

  • Fix EKF topic name so that it is unaffected by tf_prefix
  • Install launch files, closes #249
  • Fixed hardcoded tf frames issue by fetching base_footprint_frame value from param server and using it in OdomEstimation filter
  • Fixed hardcoded tf frames issue by adding variables for output and base_footprint frames along with mutator methods
  • Contributors: Jochen Sprickerhof, Michael Ferguson, Murilo FM

1.11.11 (2014-07-23)

1.11.10 (2014-06-25)

1.11.9 (2014-06-10)

  • fix robot_pose_ekf test
  • Contributors: Michael Ferguson

1.11.8 (2014-05-21)

  • fix build, was broken by #175
  • Contributors: Michael Ferguson

1.11.7 (2014-05-21)

  • Even longer Time limit for EKF Test
  • make rostest in CMakeLists optional
  • Contributors: David Lu!!, Lukas Bulwahn

1.11.5 (2014-01-30)

  • check for CATKIN_ENABLE_TESTING
  • Download test data from download.ros.org instead of willow
  • Change maintainer from Hersh to Lu

1.11.4 (2013-09-27)

  • Package URL Updates
  • upgrade depracated download data calls.
  • use tf_prefix to lookup and send transforms

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Recent questions tagged robot_pose_ekf at answers.ros.org

Package Summary

Tags No category tags.
Version 1.11.16
License BSD
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/ros-planning/navigation.git
VCS Type git
VCS Version hydro-devel
Last Updated 2015-05-01
Dev Status MAINTAINED
Released RELEASED

Package Description

The Robot Pose EKF package is used to estimate the 3D pose of a robot, based on (partial) pose measurements coming from different sources. It uses an extended Kalman filter with a 6D model (3D position and 3D orientation) to combine measurements from wheel odometry, IMU sensor and visual odometry. The basic idea is to offer loosely coupled integration with different sensors, where sensor signals are received as ROS messages.

Additional Links

Maintainers

  • David V. Lu!!
  • Michael Ferguson

Authors

  • Wim Meeussen
  • contradict gmail.com
README
No README found. See repository README.
CHANGELOG

Changelog for package robot_pose_ekf

1.11.16 (2015-04-30)

  • update maintainer email
  • Contributors: Michael Ferguson

1.11.15 (2015-02-03)

  • Fix bfl includes in robot_pose_ekf
  • Contributors: Jochen Sprickerhof

1.11.14 (2014-12-05)

1.11.13 (2014-10-02)

1.11.12 (2014-10-01)

  • Fix EKF topic name so that it is unaffected by tf_prefix
  • Install launch files, closes #249
  • Fixed hardcoded tf frames issue by fetching base_footprint_frame value from param server and using it in OdomEstimation filter
  • Fixed hardcoded tf frames issue by adding variables for output and base_footprint frames along with mutator methods
  • Contributors: Jochen Sprickerhof, Michael Ferguson, Murilo FM

1.11.11 (2014-07-23)

1.11.10 (2014-06-25)

1.11.9 (2014-06-10)

  • fix robot_pose_ekf test
  • Contributors: Michael Ferguson

1.11.8 (2014-05-21)

  • fix build, was broken by #175
  • Contributors: Michael Ferguson

1.11.7 (2014-05-21)

  • Even longer Time limit for EKF Test
  • make rostest in CMakeLists optional
  • Contributors: David Lu!!, Lukas Bulwahn

1.11.5 (2014-01-30)

  • check for CATKIN_ENABLE_TESTING
  • Download test data from download.ros.org instead of willow
  • Change maintainer from Hersh to Lu

1.11.4 (2013-09-27)

  • Package URL Updates
  • upgrade depracated download data calls.
  • use tf_prefix to lookup and send transforms

Wiki Tutorials

See ROS Wiki Tutorials for more details.

Source Tutorials

Not currently indexed.

Recent questions tagged robot_pose_ekf at answers.ros.org