Indoor Navigation With Virtual Graph Representation: Exploiting Peak Intensities of Unmodulated Luminaries
Indoor Navigation With Virtual Graph Representation: Exploiting Peak Intensities of Unmodulated Luminaries
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使用虚拟图形表示的室内导航：利用未调制灯具的峰值强度
DOI：
10.1109/tnet.2018.2884088
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Xiao Fu
中科院分区：
文献类型：
--
作者：
Liu Wenping;Jiang Hongbo;Jiang Guoyin;Liu Jiangchuan;Ma Xiaoqiang;Jia Yufu;Xiao Fu
无处不在的灯具为室内导航提供了新的维度，因为它们通常结构良好，并且可见光因其无多径特性而可靠。然而，现有的基于可见光的技术（通常是基于频率的）需要对光源进行调制、对设备进行修改或安装额外的设备。成本高昂的楼层地图和定位系统的结合，以及对捕获闪烁频率的定制硬件的限制，无疑阻碍了室内导航系统在当今智能城市中的大规模部署。在本文中，我们提供了一个新的视角上的虚拟图形表示的室内导航。我们提出的导航系统，名为PILOT的主要思想，源于利用无处不在的未调制的发光体的峰值强度。在PILOT中，具有丰富的传感数据的行人路径被有机地集成以导出有意义的图，其中每个顶点对应于光源，并且成对相邻的顶点（或光源）形成具有计算的长度和方向的边。然后，该图用作室内导航的全局参考框架，同时避免使用预先部署的楼层地图、定位系统或附加硬件。我们已经在Android平台上实现了PILOT的原型，并在典型的室内环境中进行了大量的实验，证明了其有效性和效率。
The ubiquitous luminaries provide a new dimension for indoor navigation, as they are often well-structured and the visible light is reliable for its multipath-free nature. However, existing visible light-based technologies, which are generally frequency-based, require the modulation on light sources, modification to the device, or mounting extra devices. The combination of the cost-extensive floor map and the localization system with constraints on customized hardwares for capturing the flashing frequencies, no doubt, hinders the deployment of indoor navigation systems at scale in, nowadays, smart cities. In this paper, we provide a new perspective of indoor navigation on top of the virtual graph representation. The main idea of our proposed navigation system, named PILOT, stems from exploiting the peak intensities of ubiquitous unmodulated luminaries. In PILOT, the pedestrian paths with enriched sensory data are organically integrated to derive a meaningful graph, where each vertex corresponds to a light source and pairwise adjacent vertices (or light sources) form an edge with a computed length and direction. The graph, then, serves as a global reference frame for indoor navigation while avoiding the usage of pre-deployed floor maps, localization systems, or additional hardwares. We have implemented a prototype of PILOT on the Android platform, and extensive experiments in typical indoor environments demonstrate its effectiveness and efficiency.