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Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach

One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As...

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Detalles Bibliográficos
Autores principales: Kong, Weiwei, Hu, Tianjiang, Zhang, Daibing, Shen, Lincheng, Zhang, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492450/
https://www.ncbi.nlm.nih.gov/pubmed/28629189
http://dx.doi.org/10.3390/s17061437
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author Kong, Weiwei
Hu, Tianjiang
Zhang, Daibing
Shen, Lincheng
Zhang, Jianwei
author_facet Kong, Weiwei
Hu, Tianjiang
Zhang, Daibing
Shen, Lincheng
Zhang, Jianwei
author_sort Kong, Weiwei
collection PubMed
description One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As for applications, the deployed guidance system makes full use of the ground computing resource and feedbacks the aircraft’s real-time localization to its on-board autopilot. Under such circumstances, a separate long baseline stereo architecture is proposed to possess an extendable baseline and wide-angle field of view (FOV) against the traditional fixed baseline schemes. Furthermore, accuracy evaluation of the new type of architecture is conducted by theoretical modeling and computational analysis. Dataset-driven experimental results demonstrate the feasibility and effectiveness of the developed approach.
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spelling pubmed-54924502017-07-03 Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach Kong, Weiwei Hu, Tianjiang Zhang, Daibing Shen, Lincheng Zhang, Jianwei Sensors (Basel) Article One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As for applications, the deployed guidance system makes full use of the ground computing resource and feedbacks the aircraft’s real-time localization to its on-board autopilot. Under such circumstances, a separate long baseline stereo architecture is proposed to possess an extendable baseline and wide-angle field of view (FOV) against the traditional fixed baseline schemes. Furthermore, accuracy evaluation of the new type of architecture is conducted by theoretical modeling and computational analysis. Dataset-driven experimental results demonstrate the feasibility and effectiveness of the developed approach. MDPI 2017-06-19 /pmc/articles/PMC5492450/ /pubmed/28629189 http://dx.doi.org/10.3390/s17061437 Text en © 2017 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
Kong, Weiwei
Hu, Tianjiang
Zhang, Daibing
Shen, Lincheng
Zhang, Jianwei
Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title_full Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title_fullStr Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title_full_unstemmed Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title_short Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
title_sort localization framework for real-time uav autonomous landing: an on-ground deployed visual approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492450/
https://www.ncbi.nlm.nih.gov/pubmed/28629189
http://dx.doi.org/10.3390/s17061437
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