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Real-Time UAV Autonomous Localization Based on Smartphone Sensors

Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sens...

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Detalles Bibliográficos
Autores principales: Zhao, Boxin, Chen, Xiaolong, Zhao, Xiaolin, Jiang, Jun, Wei, Jiahua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308659/
https://www.ncbi.nlm.nih.gov/pubmed/30486422
http://dx.doi.org/10.3390/s18124161
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author Zhao, Boxin
Chen, Xiaolong
Zhao, Xiaolin
Jiang, Jun
Wei, Jiahua
author_facet Zhao, Boxin
Chen, Xiaolong
Zhao, Xiaolin
Jiang, Jun
Wei, Jiahua
author_sort Zhao, Boxin
collection PubMed
description Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of “small UAV+smartphone” can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible.
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spelling pubmed-63086592019-01-04 Real-Time UAV Autonomous Localization Based on Smartphone Sensors Zhao, Boxin Chen, Xiaolong Zhao, Xiaolin Jiang, Jun Wei, Jiahua Sensors (Basel) Article Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of “small UAV+smartphone” can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible. MDPI 2018-11-27 /pmc/articles/PMC6308659/ /pubmed/30486422 http://dx.doi.org/10.3390/s18124161 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Boxin
Chen, Xiaolong
Zhao, Xiaolin
Jiang, Jun
Wei, Jiahua
Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title_full Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title_fullStr Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title_full_unstemmed Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title_short Real-Time UAV Autonomous Localization Based on Smartphone Sensors
title_sort real-time uav autonomous localization based on smartphone sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308659/
https://www.ncbi.nlm.nih.gov/pubmed/30486422
http://dx.doi.org/10.3390/s18124161
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