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ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro jazzy showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro kilted showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro rolling showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro ardent showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro bouncy showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro crystal showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro eloquent showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro dashing showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro galactic showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro foxy showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro iron showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro lunar showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

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

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro hydro showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro kinetic showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro melodic showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING

No version for distro noetic showing indigo. Known supported distros are highlighted in the buttons above.
Repo symbol

ekf_localization repository

ekf_localization

ROS Distro
indigo

Repository Summary

Checkout URI https://github.com/vislab-tecnico-lisboa/ekf_localization.git
VCS Type git
VCS Version indigo-devel
Last Updated 2016-05-11
Dev Status DEVELOPED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ekf_localization 0.0.2

README

ekf_localization

A ROS package for mobile robot localization using an extended Kalman Filter

Description

This repository contains a ROS package for solving the mobile robot localization problem with an extended Kalman Filter.

In this methodology, the Iterative Closest Point (ICP) algorithm is employed for matching laser scans to a grid-based map. The obtained alignment transformation is directly employed to obtain the residual measurement and covariance matrices.

This implementation employs a landmark-free EKF localization algorithm which relies on the transformation obtained by an ICP scan-matcher (between a known map and the laser measurements) as the residual to perform correction after the prediction step.
Furthermore, the method uses the well-studied odometry motion model detailed in [Thrun et al. 2005].

CONTRIBUTING