使用智能手机传感器和iBeacons进行室内定位

Zhenghua Chen, Qingchang Zhu, Hao Jiang, Y. Soh
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引用次数: 58

摘要

利用全球定位系统(GPS)可以很容易地获得室外定位。由于GPS信号在室内环境中被拒绝,精确的室内定位技术仍然是一个活跃的研究课题。在本文中,我们提出了一个结合智能手机传感器和iBeacons的框架,用于精确的室内定位。行人Dead Reckoning (PDR)可以应用于智能手机传感器的定位。不幸的是,它会随着步行距离而漂移。因此,iBeacons被用来纠正PDR方法的偏差。执行粒子滤波以进行校正。实际实验表明,在47.3m × 15.9m的区域内,稀疏iBeacon部署可显著提高定位精度。此外,由于初始点的估计精度对PDR方法至关重要,因此我们根据初始点的估计误差来评估我们提出的方法的性能。结果表明本文方法对初始点估计误差具有较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor localization using smartphone sensors and iBeacons
Outdoor localization can be readily obtained by Global Positioning System (GPS). Since GPS signals are denied in indoor environments, technology for accurate indoor localization is still an active on-going research topic. In this paper, we present a framework of combining smartphone sensors and iBeacons for accurate indoor localization. The Pedestrian Dead Reckoning (PDR) can be applied for localization using smartphone sensors. Unfortunately, it will drift with walking distance. Therefore, iBeacons are leveraged to correct the drift of the PDR approach. A particle filter is performed for the correction. Real experiments show a significant improvement of the localization accuracy with sparse iBeacon deployment in a 47.3m × 15.9m area. Moreover, since the estimation accuracy of the initial point is vital for the PDR approach, we evaluate the performance of our proposed approach with respect to the estimation error of the initial point. The results underline the robustness of our proposed approach for the initial point estimation error.
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