A Positioning Method Using Bluetooth and Odometry for a Mobile Robot

Abstract

This paper presents a positioning method using range-based Bluetooth RSSI data and odometry data for a mobile robot. These days, Bluetooth beacons are widely used for various applications which are based on both location and environmental information. There are two localization methods: a range-free method called the ‘fingerprint method’ and a range-based method called the ‘triangulation method’. Because of the Bluetooth RSSI resolution, most researches are using the fingerprint method. In this paper, the localization method, which uses odometry data and range-based Bluetooth RSSI data, is proposed. The range data from Bluetooth RSSI is directly used without triangulation. Also, the particle filter is adopted to combine the odometry data with the range data from Bluetooth RSSI. The performance of the proposed method is evaluated by simulations and experiments.