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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/125780

    Title: 利用粒子濾波器結合室內磁場地圖輔助行人航位推算於室內定位之研究
    The study of using Particle Filter method combined Indoor Magnetic Map to support Pedestrian Dead Reckoning for Indoor Positioning.
    Authors: 陳宥竣
    Chen, Yu-Chun
    Contributors: 甯方璽
    Ning, Fang-Shii
    Chen, Yu-Chun
    Keywords: 室內定位
    Indoor positioning
    Magnetic field map
    Pedestrian Dead Reckoning
    Particle filter
    Date: 2019
    Issue Date: 2019-09-05 17:00:29 (UTC+8)
    Abstract: 在過去的社會裡,每當我們來到陌生的環境,常會需要一張地圖來指引我們方向。而在科技日新月異的時代裡,隨著全球導航衛星系統(Global Navigation Satellite System, GNSS)的出現,戶外的定位與導航功能已經趨近完善,然而室內定位部分因為訊號受到遮蔽,導致無法接收訊號進行導航定位,也因此室內定位的方式一直是近年來研究和發展的重點。
    翻開室內定位的歷史,過去多為架設感應器來探測使用者的位置,如紅外線定位系統,而近代則多為主動發出訊號的設施,如Wi-Fi、iBeacon、RFID(Radio Frequency IDentification)等,又或者是利用影像、慣性感測元件,甚至是較少被提及的磁場定位技術。上述每種定位技術都有其優缺點,而成本會直接影響室內定位方法的使用門檻,因此本研究選擇利用行動裝置獲取陀螺儀和加速度儀的資訊,用以偵測與推算使用者位置。由於行人航位推算技術會隨時間增加而快速累積誤差,因此本研究加入粒子濾波器的概念,結合室內磁場資訊給予粒子適當權重,以解決行人航位推算快速累積誤差的問題,並達成在合理誤差範圍內完成室內定位之目的。
    本研究除了引入粒子濾波器的概念,也改變了初步估計使用者步長的方式,並透過實驗證明本研究提出之粒子濾波器方法的可行性,且研究結果顯示其定位精度可達到0.6 ~ 0.8 m之水準。
    In the past, whenever we came to an unfamiliar environment, we often needed a map to guide us. With the appearance of Global Navigation Satellite System (GNSS), the outdoor positioning has approached perfection. However, due to the environment obstruction, the indoor signal cannot be received for positioning. Therefore, indoor positioning technology has become the focus of research and development in recent years.
    In the history of indoor positioning, it mostly set up sensors to detect the position of the users, such as infrared positioning system. In recent years, most of the technologies send out signals actively, such as Wi-Fi, iBeacon, RFID, or using images, INS, and even less mentioned Magnetic field positioning technology. All the technologies above have their own advantages and disadvantages, and the cost directly affects the threshold of use of indoor positioning methods. Therefore, this study chose to use the mobile device to obtain information from the gyroscope and accelerometer to detect the path and estimate the user's position. Because the Pedestrian Dead Reckoning (PDR) technology will accumulate errors quickly with time, this study adds the concept of particle filter, combined with the indoor magnetic information to give particles appropriate weights to solve the problem, and achieve the purpose of indoor positioning within a reasonable margin of error.
    In addition, this study also changed the way estimating the user's step length, and proved the feasibility of the method proposed in this study. The research results show that the positioning accuracy can reach the level of 0.6 ~ 0.8 meters.
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106257031
    Data Type: thesis
    DOI: 10.6814/NCCU201900672
    Appears in Collections:[地政學系] 學位論文

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