Padati: A Robust Pedestrian Dead Reckoning System on Smartphones
Padati: A Robust Pedestrian Dead Reckoning System on Smartphones
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Padati：智能手机上强大的行人航位推算系统
DOI：
10.1109/trustcom.2012.218
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Nitin Aggarwal
中科院分区：
文献类型：
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作者：
Deepak Pai;Sasi Inguva;Phani Shekhar Mantripragada;M. Malpani;Nitin Aggarwal
基于位置的服务被证明是智能手机增长的下一个驱动因素。虽然GPS解决了室外环境中的精确定位问题，但室内定位仍然是一个活跃的研究领域。具有低成本传感器的新一代智能手机的出现提供了通过行人航位推算（PDR）进行室内定位的有效方式。我们提出了一个强大的机制，用于检测一个人的步骤，并估计他的步长。我们的系统独立于设备的位置和方向。我们的系统表现出比现有技术中提出的传统PDR系统好45%。PDR系统中的另一个重要问题是确定移动终端的方位和用户运动的方向。许多系统假设设备被定向在用户运动的方向上。最近的一些系统使用加速度计、磁力计模式和PCA来检测用户取向的方向。我们提出了一个系统，它使用地图匹配和粒子滤波来确定用户运动的方向。我们把我们对这种制度的可行性的研究结果制成表格。
Location based services are proving to be the next driving factors for growth in smartphones. While GPS solves the problem of accurate localization in outdoor environments, indoor localization is still an area of active research. Emergence of new generation smartphones with low cost sensors, have provided an effective way of indoor localization by pedestrian dead reckoning (PDR). We propose a robust mechanism for detecting the step of a person and estimating his step length. Our system is independent of the location and orientation of the device. Our system is shown to perform 45% better than the traditional PDR systems proposed in prior-art. Another important problem in PDR system is determining the orientation of the mobile device and the direction of user motion. Many systems assume the device to be oriented in the direction of the user motion. Some of the recent systems use accelerometer, magnetometer patterns and PCA to detect the direction of user orientation. We propose a system which uses map matching and particle filtering to determine the direction of user motion. We tabulate our findings on the feasibility of such a system.