司机在打电话吗?使用蜂窝信号定位移动设备

Shichen Zhang;Huacheng Zeng;Y. Thomas Hou
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引用次数: 0

摘要

开车时使用手机是分散汽车驾驶员注意力的一个主要原因,并导致了大量的车祸。虽然监控摄像头可用于检测违规使用手机的情况,但在某些情况下(如黑暗和遮挡)效果不佳,而且可能会引发隐私问题。在本文中,我们将介绍一种路边设备 PhoLoc,它可以利用手机发出的蜂窝信号检测个人车辆中的违规使用手机行为。PhoLoc 配备了两个传感器:一个多天线无线电接收器和一个低成本激光雷达。它可以联合处理来自两个传感器的多模态数据,从而估算出手机在车辆中的相对位置。PhoLoc 的推进器是一种新的近场定位方案,它能够通过窃听移动电话的蜂窝信号来估计其在特定时间的位置。我们制作了 PhoLoc 的原型,并在现实场景中对其性能进行了评估。实验结果表明,PhoLoc 在检测违规电话方面的误判率为 4.2%,误判率为 13.8%。
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Is Driver on Phone Call? Mobile Device Localization Using Cellular Signal
The use of mobile phones while driving is a major source of distraction for vehicle drivers and has resulted in a large number of car accidents. While surveillance cameras can be used to detect the violation of phone use, they do not work well in some scenarios (e.g., darkness and blockage) and may raise privacy concerns. In this paper, we present PhoLoc, a roadside device to detect the violation of phone use in personal vehicles using the cellular signals emitted by cellphones. PhoLoc is equipped with two sensors: a multi-antenna radio receiver and a low-cost lidar. It jointly processes the multimodal data from the two sensors to estimate the relative location of a phone in a vehicle. The enabler of PhoLoc is a new near-field localization scheme, which is capable of estimating the location of a moving phone at a specific time moment by overhearing its cellular signals. We have built a prototype of PhoLoc and evaluated its performance in realistic scenarios. Experimental results show that PhoLoc achieves 4.2% false positive rate and 13.8% false negative rate in the detection of phone call violation.
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Table of Contents IEEE Open Access Publishing Guest Editorial Positioning and Sensing Over Wireless Networks—Part II TechRxiv: Share Your Preprint Research With the World! IEEE Journal on Selected Areas in Communications Publication Information
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