HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting
HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting
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DOI：
10.1109/ipin.2013.6817916
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发表时间：
2013-10
期刊：
影响因子：
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通讯作者：
Valentin Radu;M. Marina
中科院分区：
文献类型：
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作者：
Valentin Radu;M. Marina
依赖室内定位的大量应用鼓励了该领域的进一步发展。智能手机在我们的日常生活中越来越常见，因此利用其传感器可以帮助提供无处不在的定位解决方案。我们提出了 HiMLoc，这是一种新颖的解决方案，它协同使用行人航位推算 (PDR) 和 WiFi 指纹识别来利用其积极方面并限制其消极方面的影响。具体来说，HiMLoc 将移动设备上使用惯性传感器的位置跟踪和活动识别与通过粒子过滤器从众包 WiFi 指纹识别系统提供的特定位置加权辅助结合起来。通过仅使用大多数智能手机上提供的最常见传感器（加速计、指南针和 WiFi 卡）并提供易于部署的方法（仅需要楼梯、电梯、角落和入口的位置），HiMLoc 在大多数情况下可实现低于 3 米的中值精度。
The large number of applications that rely on indoor positioning encourages more advancement in this field. Smartphones are becoming a common presence in our daily life, so taking advantage of their sensors can help to provide ubiquitous positioning solution. We propose HiMLoc, a novel solution that synergistically uses Pedestrian Dead Reckoning (PDR) and WiFi fingerprinting to exploit their positive aspects and limit the impact of their negative aspects. Specifically, HiMLoc combines location tracking and activity recognition using inertial sensors on mobile devices with location-specific weighted assistance from a crowd-sourced WiFi fingerprinting system via a particle filter. By using just the most common sensors available on the large majority of smartphones (accelerometer, compass, and WiFi card) and offering an easily deployable method (requiring just the locations of stairs, elevators, corners and entrances), HiMLoc is shown to achieve median accuracies lower than 3 meters in most cases.