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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6308659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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