Particle Filter for Hector SLAM to Improve the Performance of Robot Positioning by Image Processing Based

Abstract

Today, robot navigation uses navigation from maps that have been collected from laser sensors. The quality and usability of the received environmental grid map. This has an evident impact on robot navigation. The more accurate the map is a direct effect on the autonomous navigation. The morphological operation was used to an improved map by using opening and closing operations to reduce noise from the original map. This paper presents an image processing technique. In order to, robots be able to reduce the time required for the navigation to the destination due to inaccuracy maps.