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Author: search.filters.author.Tseng, Yu-CheeSubject: search.filters.subject.Localization

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    Self-Contained Localization without Auxiliary Signals on Smart Devices
    (2014-01-01)
    Peng, Hsin-Hsien
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    Lo, Chi-Chung
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    Lin, Tsung-Ching
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    Tseng, Yu-Chee
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    資訊工程學系
    Wearable technologies have attracted considerable attention in mobile computing. This paper proposes a system for localization on wearable devices, such as the smart glasses. The existing approaches to localization, such as AoA, ToA, TDoA, GPS, and RF-based solutions, rely on auxiliary signals at set distances. This limitation constrains the availability of LBS when a mobile device is unable to receive the auxiliary signals. For example, GPS is not available in indoor environments. This paper proposes a system for "self-contained" localization, which refers to the capability of a device to determine its location without having to rely on auxiliary signals, and demonstrates the feasibility of using inertial measurement unit (IMU) and visual sensors in a smart phone to achieve this goal. Based on a concept called inertial sensor-assisted localization (ISAL), IMU sensors are triggered by user motions and visual cues are taken from existing objects. Using augmented reality (AR) techniques, objects captured by the smart phone camera are "tagged" manually or automatically by image processing tools. The angles of these objects relative to the user are then measured by IMU sensors. Based on these angles, we then develop an angulation algorithm to determine the location of the user.
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    Adaptive radio maps for pattern-matching localization via inter-beacon co-calibration
    (2012-04-01)
    Lo, Chi-Chung
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    Hsu, Lan-Yin
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    Tseng, Yu-Chee
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    資訊工程學系
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    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
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    Hsu, Ming-Hsiu
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    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.