政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/149647

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/149647

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/149647

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/149647

Title:	基於視覺導航之無人機自主降落韌性提升 Robustness Enhancement on Visually Guided UAV Autonomous Landing
Authors:	蔣明憲 Chiang, Min-Hsien
Contributors:	劉吉軒 Liu, Jyi-Shane 蔣明憲 Chiang, Min-Hsien
Keywords:	無人機四軸無人機自主精準降落降落韌性降落方法基於視覺的引導系統電腦視覺決策控制降落標記設計 Uav Quadcopter Autonomous Precision Landing Landing Robustness Landing Strategy Vision-based Guidance systems Computer Vision Decision Control Landing Marker Design
Date:	2023
Issue Date:	2024-02-01 11:40:49 (UTC+8)
Abstract:	近年來，由於軟硬體架構的革新和大環境的變化的影響，飛行無人機已成為研究的焦點。它具備高機動性和可滯空兩種特性，不論是用於軍事用途，如無人化遠距偵查和執行特定軍事任務，或者是商業上的應用，如空中巡檢和影像獲取，都受到廣泛關注。過去三年疫情的影響，零接觸概念開始備受重視，無人機的發展也逐漸成為焦點之一。自主降落作為飛行中的最後環節，在無人機智慧化中扮演著關鍵的角色，這項技術在過去十年中受到廣泛研究。特別是當無人機降落於各種環境時，視情況需要整合視覺追蹤、軌跡預測、路徑規劃以及動力算法等技術，以完成降落任務。考慮到在現實場景中可能遇到的多變情況，降落韌性提昇是一項值得深入研究的重要課題。鑒於過去多數論文的實驗停留在相對理想的環境下進行，如虛擬及室內環境，而與現實場景存在一定落差，因此本研究旨在提升無人機在現實中的降落韌性，以此設計出能在高空、不同風場以及碰到目標被遮蔽的情況下也能穩定追蹤目標並降落的方法。為達成上述韌性目標，我們設計出一套基於視覺的自主降落系統，涵蓋從降落標記設計、降落流程設計、飛行邏輯設計、降落方法設計以及硬體底層的飛行控制，並在視覺處理上整合多種演算法來互相驗證並以提升導航韌性，除此之外，透過將視覺反饋與路徑規劃進行整合，成功設計出一個極具韌性的新型降落方法。 In recent years, due to innovations in both hardware and software architecture and changes in the overall environment, unmanned aerial vehicles (UAVs) have become a focal point of research. They possess two key characteristics: high maneuverability and the ability to loiter in the air, making them of significant interest for a wide range of applications. These applications include military uses such as unmanned long-range reconnaissance and the execution of specific military missions, as well as commercial applications like aerial inspections and image capture. The impact of the COVID-19 pandemic in the past three years has also placed a strong emphasis on the concept of contactless operations, leading to a growing focus on the development of UAVs. Autonomous landing, as the final phase of a flight, plays a crucial role in the intelligence of UAVs and has been extensively researched over the past decade. This technology integrates various techniques, such as visual tracking, trajectory prediction, path planning, and control algorithms, to successfully accomplish landing tasks, especially when UAVs need to land in diverse and unpredictable environments. Given the numerous and variable conditions that UAVs may encounter in real-world scenarios, enhancing landing resilience is an important and worthwhile area of in-depth research. Given that most previous research papers have conducted experiments in relatively ideal environments, such as virtual and indoor settings, which may not accurately reflect real-world scenarios, this study aims to enhance the landing resilience iii of unmanned aerial vehicles (UAVs) in real-world conditions. The goal is to design a method that enables UAVs to stably track and land on a target even in challenging situations, including high altitudes, varying wind conditions, and scenarios where the target may be obscured. To achieve the aforementioned resilience goals, we have designed a visual-based autonomous landing system that encompasses various components, including landing marker design, landing procedure design, flight logic design, landing method design, and low-level hardware flight control. In addition, we have integrated multiple algorithms in visual processing to mutually validate and enhance navigation resilience. Furthermore, by integrating visual feedback with path planning, we have successfully developed a highly resilient novel landing method
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Description:	碩士國立政治大學資訊科學系 110753208
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0110753208
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

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