Improving IMES localization accuracy by integrating dead reckoning information

Kenjiro Fujii, Hiroaki Arie, Wei Wang, Yuto Kaneko, Yoshihiro Sakamoto, Alexander Schmitz, Shigeki Sugano

    研究成果: Article

    4 引用 (Scopus)

    抄録

    Indoor positioning remains an open problem, because it is difficult to achieve satisfactory accuracy within an indoor environment using current radio-based localization technology. In this study, we investigate the use of Indoor Messaging System (IMES) radio for high-accuracy indoor positioning. A hybrid positioning method combining IMES radio strength information and pedestrian dead reckoning information is proposed in order to improve IMES localization accuracy. For understanding the carrier noise ratio versus distance relation for IMES radio, the signal propagation of IMES radio is modeled and identified. Then, trilateration and extended Kalman filtering methods using the radio propagation model are developed for position estimation. These methods are evaluated through robot localization and pedestrian localization experiments. The experimental results show that the proposed hybrid positioning method achieved average estimation errors of 217 and 1846 mm in robot localization and pedestrian localization, respectively. In addition, in order to examine the reason for the positioning accuracy of pedestrian localization being much lower than that of robot localization, the influence of the human body on the radio propagation is experimentally evaluated. The result suggests that the influence of the human body can be modeled.

    元の言語English
    ジャーナルSensors (Switzerland)
    16
    発行部数2
    DOI
    出版物ステータスPublished - 2016 1 27

    Fingerprint

    dead reckoning
    Radio systems
    Radio
    Radio transmission
    Robots
    positioning
    robots
    radio transmission
    Human Body
    human body
    Error analysis
    Technology
    Experiments
    Pedestrians

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics
    • Analytical Chemistry
    • Biochemistry

    これを引用

    Improving IMES localization accuracy by integrating dead reckoning information. / Fujii, Kenjiro; Arie, Hiroaki; Wang, Wei; Kaneko, Yuto; Sakamoto, Yoshihiro; Schmitz, Alexander; Sugano, Shigeki.

    :: Sensors (Switzerland), 巻 16, 番号 2, 27.01.2016.

    研究成果: Article

    Fujii, Kenjiro ; Arie, Hiroaki ; Wang, Wei ; Kaneko, Yuto ; Sakamoto, Yoshihiro ; Schmitz, Alexander ; Sugano, Shigeki. / Improving IMES localization accuracy by integrating dead reckoning information. :: Sensors (Switzerland). 2016 ; 巻 16, 番号 2.
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    abstract = "Indoor positioning remains an open problem, because it is difficult to achieve satisfactory accuracy within an indoor environment using current radio-based localization technology. In this study, we investigate the use of Indoor Messaging System (IMES) radio for high-accuracy indoor positioning. A hybrid positioning method combining IMES radio strength information and pedestrian dead reckoning information is proposed in order to improve IMES localization accuracy. For understanding the carrier noise ratio versus distance relation for IMES radio, the signal propagation of IMES radio is modeled and identified. Then, trilateration and extended Kalman filtering methods using the radio propagation model are developed for position estimation. These methods are evaluated through robot localization and pedestrian localization experiments. The experimental results show that the proposed hybrid positioning method achieved average estimation errors of 217 and 1846 mm in robot localization and pedestrian localization, respectively. In addition, in order to examine the reason for the positioning accuracy of pedestrian localization being much lower than that of robot localization, the influence of the human body on the radio propagation is experimentally evaluated. The result suggests that the influence of the human body can be modeled.",
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    AU - Arie, Hiroaki

    AU - Wang, Wei

    AU - Kaneko, Yuto

    AU - Sakamoto, Yoshihiro

    AU - Schmitz, Alexander

    AU - Sugano, Shigeki

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    N2 - Indoor positioning remains an open problem, because it is difficult to achieve satisfactory accuracy within an indoor environment using current radio-based localization technology. In this study, we investigate the use of Indoor Messaging System (IMES) radio for high-accuracy indoor positioning. A hybrid positioning method combining IMES radio strength information and pedestrian dead reckoning information is proposed in order to improve IMES localization accuracy. For understanding the carrier noise ratio versus distance relation for IMES radio, the signal propagation of IMES radio is modeled and identified. Then, trilateration and extended Kalman filtering methods using the radio propagation model are developed for position estimation. These methods are evaluated through robot localization and pedestrian localization experiments. The experimental results show that the proposed hybrid positioning method achieved average estimation errors of 217 and 1846 mm in robot localization and pedestrian localization, respectively. In addition, in order to examine the reason for the positioning accuracy of pedestrian localization being much lower than that of robot localization, the influence of the human body on the radio propagation is experimentally evaluated. The result suggests that the influence of the human body can be modeled.

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    KW - Pedestrian dead reckoning

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