Using radius to improve robot localization and mapping

In this work, we have tried to integrate the radius estimation, in the process of simultaneous localization and mapping. Our aim was the improvement of data association between circular natural landmark, and robot's global map. And also, to demonstrate that, more we extract additional information from measurement, more the landmarks will be distinguishable; consequently, contributing to better locating the robot, and building the map of its environment.