دورية أكاديمية

Smartphone-based integrated PDR/GPS/Bluetooth pedestrian location.

التفاصيل البيبلوغرافية
العنوان: Smartphone-based integrated PDR/GPS/Bluetooth pedestrian location.
المؤلفون: Li, Xianghong1,2, Wei, Dongyan1, Lai, Qifeng1, Xu, Ying1 nadinexy@aoe.ac.cn, Yuan, Hong1
المصدر: Advances in Space Research. Feb2017, Vol. 59 Issue 3, p877-887. 11p.
مصطلحات موضوعية: *GLOBAL Positioning System, *BLUETOOTH technology, *PEDESTRIANS, *MAGNETOMETERS, *GYROSCOPES
مستخلص: Typical indoor location method is fingerprint and traditional outdoor location system is GPS. Both of them are of poor accuracy and limited only for indoor or outdoor environments. As the smartphones are equipped with MEMS sensors, it means PDR can be widely used. In this paper, an algorithm of smartphone-based integrated PDR/GPS/Bluetooth for pedestrian location in the indoor/outdoor is proposed, which can be highly expected to realize seamless indoor/outdoor localization of the pedestrian. In addition, we also provide technologies to estimate orientation with Magnetometer and Gyroscope and detect context with output of sensors. The extensive experimental results show that the proposed algorithm can realize seamless indoor/outdoor localization. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
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Array ( [Name] => Abstract [Label] => Abstract [Group] => Ab [Data] => Typical indoor location method is fingerprint and traditional outdoor location system is GPS. Both of them are of poor accuracy and limited only for indoor or outdoor environments. As the smartphones are equipped with MEMS sensors, it means PDR can be widely used. In this paper, an algorithm of smartphone-based integrated PDR/GPS/Bluetooth for pedestrian location in the indoor/outdoor is proposed, which can be highly expected to realize seamless indoor/outdoor localization of the pedestrian. In addition, we also provide technologies to estimate orientation with Magnetometer and Gyroscope and detect context with output of sensors. The extensive experimental results show that the proposed algorithm can realize seamless indoor/outdoor localization. [ABSTRACT FROM AUTHOR] )
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