Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3169
Title: | Localization With Particle Filter Based on Odometer and Uwb | Authors: | Oğuz Ekim, Pınar | Keywords: | UWB odometer localization ROS Indoor Localization Slam Tutorial |
Publisher: | IEEE | Abstract: | In this paper, the particle filter structure that uses odometer and Ultra-wide band (UWB) sensors for positioning autonomous ground vehicles used in confined spaces was investigated. Accordingly, UWB sensor packages written for Turtlebot3 libraries are mentioned. The positioning algorithm has been evaluated both in simulation environment using Robot Operating System (ROS) and in real test environment. Positioning accuracy is sufficient for practical applications, but as the number of reference sensors increases, results with better precision are obtained. | Description: | 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) -- JUN 26-27, 2020 -- TURKEY | URI: | https://hdl.handle.net/20.500.14365/3169 | ISBN: | 978-1-7281-9352-6 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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