Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach
[-5]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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/17/6/1437 |
| _version_ | 1828347927942135808 |
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| author | Weiwei Kong Tianjiang Hu Daibing Zhang Lincheng Shen Jianwei Zhang |
| author_facet | Weiwei Kong Tianjiang Hu Daibing Zhang Lincheng Shen Jianwei Zhang |
| author_sort | Weiwei Kong |
| collection | DOAJ |
| description | [-5]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. |
| first_indexed | 2024-04-14T00:47:17Z |
| format | Article |
| id | doaj.art-9688ad5f59b44a8ebf52175a86e9b3ee |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:47:17Z |
| publishDate | 2017-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9688ad5f59b44a8ebf52175a86e9b3ee2022-12-22T02:21:59ZengMDPI AGSensors1424-82202017-06-01176143710.3390/s17061437s17061437Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual ApproachWeiwei Kong0Tianjiang Hu1Daibing Zhang2Lincheng Shen3Jianwei Zhang4College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, ChinaCollege of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, ChinaCollege of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, ChinaCollege of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, ChinaInstitute of Technical Aspects of Multimodal Systems(TAMS), Department of Computer Science, University of Hamburg, 22527 Hamburg, Germany[-5]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.http://www.mdpi.com/1424-8220/17/6/1437UAVstereo visionlocalization |
| spellingShingle | Weiwei Kong Tianjiang Hu Daibing Zhang Lincheng Shen Jianwei Zhang Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach Sensors UAV stereo vision localization |
| 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 | UAV stereo vision localization |
| url | http://www.mdpi.com/1424-8220/17/6/1437 |
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