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學術出版;;Publications

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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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🏛️國立陽明交通大學機構典藏

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    音響定位之研究
    (2009)
    謝世福
    ;
    HSIEH SHIH-FU
    ;
    國立交通大學電信工程學系(所)
    一個定位系統是由多個固定端對於待測物的時間差與距離量距，來估測它的位置。主要應用包括機器人與UWB(Ultra-Wideband)無線感測網路。 [針對室內定位，我們希望利用聲音當作傳輸的信號。因為音響相對於射頻訊號，具有繞射，較低聲速與低硬體成本的優勢。 定位之前的距離估測主要的困難包括。電腦的隨機延遲所造成的同步問題，因環境而異的聲速，因阻礙物造成的估計誤差，以及如何有效追蹤運動中的機器人等議題。 首先我們提出了用參考麥克風來解決同步及聲速校準的問題，不同於傳統射頻信號同步(收發機成本高)，及飛行時間差(時間估測可靠度低) 的方法，本方法具有高準確及節省成本的好處，且由自製機器人實驗中，得到初步不錯的定位效果。其他議題包含喇叭與麥克風的替換，以及利用泰勒展開的最小方差法完成的多聲道定位。接著專注降低非直視線的誤差以及利用訊號能量來提升測距準確度的研究。最後作動態定位研究，利用過去估測的軌跡及速度，來修正時間記憶參數與泰勒展開參考值，以提升即時定位的準確度。
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    Adaptive radio maps for pattern-matching localization via inter-beacon co-calibration
    (2012-04-01)
    Lo, Chi-Chung
    ;
    Hsu, Lan-Yin
    ;
    Tseng, Yu-Chee
    ;
    資訊工程學系
    ;
    Department of Computer Science
    A growing number of location-based applications are based on indoor positioning, and much of the research effort in this field has focused on the pattern-matching approach. This approach relies on comparing a pre-trained database (or radio map) with the received signal strength (RSS) of a mobile device. However, such methods are highly sensitive to environmental dynamics. A number of solutions based on added anchor points have been proposed to overcome this problem. This paper proposes an approach using existing beacons to measure the RSS from other beacons as a reference, which we call inter-beacon measurement, for the calibration of radio maps on the fly. This approach is feasible because most current beacons (such as Wi-Fi and ZigBee stations) have both transmitting and receiving capabilities. This approach would relieve the need for additional anchor points that deal with environmental dynamics. Simulation and experimental results are presented to verify our claims. (C) 2012 Elsevier B.V. All rights reserved.
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    Design and implementation of a self-guided indoor robot based on a two-tier localization architecture
    (2012-04-01)
    Yeh, Lun-Wu
    ;
    Hsu, Ming-Hsiu
    ;
    Huang, Hong-Ying
    ;
    Tseng, Yu-Chee
    ;
    資訊工程學系
    We consider building an indoor low-cost mobile robot that can be used in home applications. Due to the complicated nature of home environments, it is essential for such a robot to be self-guided in the sense that it is able to determine its current location as well as navigate to locations where it is commanded to. We propose a two-tier architecture to achieve this goal at centimeter-to-meter-level accuracy. The robot can even roam into an area which is new to it. We demonstrate a prototyping system based on an extended iRobot and the results have important implications on intelligent homes. (C) 2011 Elsevier B.V. All rights reserved.