Indoor Localization of the Points of Interest using RO-SLAM
Author(s) -
Yamnia Rodríguez Esteves,
Julio Barbancho,
Antidio Viguria Jiménez
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0005569400350042
Subject(s) - global positioning system , computer science , power consumption , real time computing , simultaneous localization and mapping , power (physics) , tracking (education) , wireless sensor network , signal (programming language) , artificial intelligence , embedded system , mobile robot , robot , telecommunications , computer network , psychology , pedagogy , physics , quantum mechanics , programming language
This paper describes an indoor localization system based on RO-SLAM technique, which has been led to experimentation. The proposed system has been considered to have low power consumption. The nodes of the network are based on the well-known architecture TelosB. A distance estimation study has been developed in order to determine the relationship between radio power signal strength in a radio link and distance between nodes. This relationship has a high variability and given its importance for successful tracking, much of this work has been devoted to its study. This system could be applied as a usefull solution for localization in a warehouse, where GPS-based system does not work. Based on the results obtained, this system is deemed as feasible because the motes have been localized with an acceptable error (1.2 m) under real conditions.
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