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    题名: 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
    作者: 蔣明憲
    Chiang, Min-Hsien
    贡献者: 劉吉軒
    Liu, Jyi-Shane
    蔣明憲
    Chiang, Min-Hsien
    关键词: 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
    日期: 2023
    上传时间: 2024-02-01 11:40:49 (UTC+8)
    摘要: 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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    描述: 碩士
    國立政治大學
    資訊科學系
    110753208
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0110753208
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

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