ekf_localization repository

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

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].