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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Bibliographic Details
Main Author: Li, Zhaonan
Other Authors: Wang Dan Wei
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/143414
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Institution: Nanyang Technological University
Language: English
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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.