UAV back-track in GPS unreliable environment
Unmanned aerial vehicle (UAV) is thriving in recent years. Sensors equipped on a UAV enhance its versatility of aiding human’s work instead of just flying. Function like pathing following and back-tracking is in demand for monitoring and transportation. In this thesis, we propose a pipeline of a mon...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/143414 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Unmanned aerial vehicle (UAV) is thriving in recent years. Sensors equipped on a UAV enhance its versatility of aiding human’s work instead of just flying. Function like pathing following and back-tracking is in demand for monitoring and transportation. In this thesis, we propose a pipeline of a monocular back-tracking system based on computer vision, which deftly combines classic pose estimation algorithms with optimization methods to locate UAV itself and provide a navigation target with a 6-dimension pose. This system is proved to have stable performance in a static scenario. |
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