论文标题
基于视觉和无线信号功能的联合基于高精度室内定位的方法
Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization
论文作者
论文摘要
现有的室内应用程序定位系统基本上依赖于无线信号。随着低成本摄像机的大量部署，基于视觉图像的定位也变得有吸引力。但是，在现有文献中，混合视觉和无线方法只需直接将上述方案结合在一起，而无法探索它们之间的相互作用。在本文中，我们提出了一种基于视觉和无线信号功能的联合室内定位系统的方法。在此关节方案中，使用WiFi信号以可能性概率计算粗区域，并使用视觉图像来微调定位结果。基于数值结果，我们表明所提出的方案可以在接近实时的运行时间内实现6200万个本地化精度。
The existing localization systems for indoor applications basically rely on wireless signal. With the massive deployment of low-cost cameras, the visual image based localization become attractive as well. However, in the existing literature, the hybrid visual and wireless approaches simply combine the above schemes in a straight forward manner, and fail to explore the interactions between them. In this paper, we propose a joint visual and wireless signal feature based approach for high-precision indoor localization system. In this joint scheme, WiFi signals are utilized to compute the coarse area with likelihood probability and visual images are used to fine-tune the localization result. Based on the numerical results, we show that the proposed scheme can achieve 0.62m localization accuracy with near real-time running time.
