A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones
A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones
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DOI：
10.1109/jsen.2015.2510364
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发表时间：
2016-04-01
影响因子：
4.3
通讯作者：
Pan, Yun
中科院分区：
文献类型：
--
作者：
Tian, Qinglin;Salcic, Zoran;Pan, Yun
本文提出了一种使用标准智能手机的模式检测增强的航位推算行人跟踪方法。该模式代表携带设备的特定状态，在人行走时自动检测。本文提出了一种新的方法，在原有方法的基础上进行了扩展和改进，通过实时识别设备的三种典型携带模式，并利用识别的模式来提高跟踪精度。在各种模式下携带设备的方式不受限制，提供可靠的独立于个人的跟踪。在模式识别的基础上，提出了一种基于步长估计模型的轻型步长跟踪算法。跟踪系统在商用智能手机上实现，智能手机配备了内置的惯性测量单元，带有3-D加速度计和陀螺仪。实现了实时跟踪和定位性能，平均定位精度达到98.91%。
This paper proposes an approach for pedestrian tracking using dead reckoning enhanced with a mode detection using a standard smartphone. The mode represents a specific state of carrying device, and it is automatically detected while a person is walking. This paper presents a new approach, which extends and enhances previous methods by identifying in real-time three typical modes of carrying the device and using the identified mode to enhance tracking accuracy. The way of carrying the device in all modes is unconstrained to offer reliable person-independent tracking. Based on the identification of modes, a lightweight step-based tracking algorithm is developed with a novel step length estimation model. The tracking system is implemented on a commercial off-the-shelf smartphone equipped with a built-in inertial measurement unit with 3-D accelerometer and gyroscope. It achieves real-time tracking and localization performance with an average position accuracy of 98.91%.