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A ROS package for mobile robot localization using an extended Kalman Filter
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].
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- scan_topic [default: scan]
- rosbag_file_1 [default: homework1/dataset/dataset_2013-10-09-15-10-03.bag]
- map_file [default: $(find advanced_robotics)/homework1/maps/gmapping/map]