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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Format: | Article |
Language: | English |
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Wiley
2006-01-01
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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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