A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle

This article introduces a real-time vision-based method for guided autonomous landing of a rotor-craft unmanned aerial vehicle. In the process of designing the pattern of landing target, we have fully considered how to make this easier for simplified identification and calibration. A linear algorith...

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Main Authors: Z. Yuan, Z. Gong, J. Chen, J. Wu
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1533/abbi.2006.0026
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author Z. Yuan
Z. Gong
J. Chen
J. Wu
author_facet Z. Yuan
Z. Gong
J. Chen
J. Wu
author_sort Z. Yuan
collection DOAJ
description This article introduces a real-time vision-based method for guided autonomous landing of a rotor-craft unmanned aerial vehicle. In the process of designing the pattern of landing target, we have fully considered how to make this easier for simplified identification and calibration. A linear algorithm was also applied using a three-dimensional structure estimation in real time. In addition, multiple-view vision technology is utilized to calibrate intrinsic parameters of camera online, so calibration prior to flight is unnecessary and the focus of camera can be changed freely in flight, thus upgrading the flexibility and practicality of the method.
format Article
id doaj-art-2644f6da28cf428db869aa89eec86bc0
institution Kabale University
issn 1176-2322
1754-2103
language English
publishDate 2006-01-01
publisher Wiley
record_format Article
series Applied Bionics and Biomechanics
spelling doaj-art-2644f6da28cf428db869aa89eec86bc02025-02-03T01:06:19ZengWileyApplied Bionics and Biomechanics1176-23221754-21032006-01-013317117710.1533/abbi.2006.0026A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial VehicleZ. Yuan0Z. Gong1J. Chen2J. Wu3School of Mechatronics Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai, ChinaSchool of Mechatronics Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai, ChinaSchool of Mechatronics Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai, ChinaSchool of Mechatronics Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai, ChinaThis article introduces a real-time vision-based method for guided autonomous landing of a rotor-craft unmanned aerial vehicle. In the process of designing the pattern of landing target, we have fully considered how to make this easier for simplified identification and calibration. A linear algorithm was also applied using a three-dimensional structure estimation in real time. In addition, multiple-view vision technology is utilized to calibrate intrinsic parameters of camera online, so calibration prior to flight is unnecessary and the focus of camera can be changed freely in flight, thus upgrading the flexibility and practicality of the method.http://dx.doi.org/10.1533/abbi.2006.0026
spellingShingle Z. Yuan
Z. Gong
J. Chen
J. Wu
A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
Applied Bionics and Biomechanics
title A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
title_full A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
title_fullStr A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
title_full_unstemmed A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
title_short A Vision-Based Method for Autonomous Landing of a Rotor-Craft Unmanned Aerial Vehicle
title_sort vision based method for autonomous landing of a rotor craft unmanned aerial vehicle
url http://dx.doi.org/10.1533/abbi.2006.0026
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