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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/158006


    Title: 智慧型行動裝置結合室內磁場地圖與影像判讀提升室內定位精度之研究
    The Study of Smart Mobile Device Integrating Indoor Magnetic Map and Image Interpretation to Improve Indoor Positioning Accuracy
    Authors: 甯方璽;李宜珊
    Contributors: 地政系
    Keywords: 室內定位;磁場定位;影像辨識;機器學習
    Indoor positioning;Magnetic field positioning;Image recognition;Machine learning
    Date: 2019-10
    Issue Date: 2025-07-14 11:10:09 (UTC+8)
    Abstract: 隨著科技的進步行動裝置之普及，使得室內外定位及導航技術的應用越來越自動化，然全球導航衛星系統（Global Navigation Satellite System,GNSS）的出現，戶外定位的性能已經趨近完善，但其訊號因為遮蔽無法穿透進入室內，因此室內定位技術已經成為近年來研究和發展的重點。室內定位的技術目前常見的包括：紅外線定位系統、Wi-Fi、iBeacon、RFID、行人航位推算及影像定位技術。以上技術都有其各自的優缺點，目前沒有基於單一技術能夠完善的解決所有因素，必須透過結合不同技術達到成本、範圍與精度的綜合考量。本研究以低成本、高精度與即時性作為優先考量，利用建物中所使用之鋼結構對磁場之影響進行研究，並結合機器學習之影像辨識方法進行室內定位，評估其室內定位精度提升之效果，並將開發能與使用者互動的行動裝置程式，以供後續發展使用。
    The applications of indoor and outdoor positioning techniques are becoming more and more automation by the developing of science and technology. The Global Navigation Satellite System (GNSS) makes the performance of outdoor positioning has been nearly perfect. But GNSS signal is unable to penetrate into the building because of the masking, so the indoor positioning technology has become the focus of research and development in recent years. The techniques of indoor positioning include: infrared positioning system, Wi-Fi, I-beacon, RFID, pedestrian projection and image location technology. All of the above techniques have their own advantages and disadvantages, there is no single technology to improve the resolution of all factors, must be combined with different technologies to achieve low cost and high precision of the comprehensive consideration. This study is based on low cost, high accuracy and real-time performance in indoor positioning that combined the influence of the construction steel structure on the magnetic field and the image identification method of machine learning. And then, we will evaluate the effect of indoor positioning accuracy, and to develop a mobile device program which can interact with the user for subsequent development.
    Relation: 科技部, MOST107-2410-H004-154, 107.08-108.07
    Data Type: report
    Appears in Collections:[地政學系] 國科會研究計畫

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