利用摄像头和WiFi信号增强基于智能手机的室内多模式定位

Jing Xu, Yanchao Zhao, Jie Wu, Hongyan Qian
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引用次数: 1

摘要

室内定位的主要挑战之一是锚点的匹配难度和预测精度。在这项工作中,我们创新地提出了一种基于摄像头、传感器和wifi辅助的、易于部署的定位系统。提出了一种基于多模态感知的定位测量方法。我们使用智能手机和商用WiFi设备实现了一个原型,并在不同的室内环境中对其进行了评估。实验结果表明,室内点的85个百分位误差在0.21m以内,为亚米级定位提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Smartphone-Based Multi-modal Indoor Localization with Camera and WiFi Signal
One of the major challenges in indoor localization is the matching difficulty and prediction accuracy of anchor points. In this work, we innovate in proposing a camera-based, sensorand WiFi-assisted, and easy-to-deploy system for localization. The proposed method is based on muliti-modal sensing to enhancing localization measurement. We implement a prototype with smartphones and commercial WiFi devices and evaluate it in distinct indoor environments. Experimental results show that the 85-percentile error is within 0.21m for indoor POIs that sheds light on sub-meter level localization.
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