SmartFinder: Cloud-based Self Organizing Localization for Mobile Smart Devices in Large-scale Indoor Facility

被引：0
|
作者：
Kitanouma, Takamasa [1 ]
Nii, Eiji [1 ]
Adachi, Naotoshi [2 ]
Takizawa, Yasuhisa [2 ]
机构：
[1] Kansai Univ, Grad Sch Sci & Engn, Osaka, Japan
[2] Kansai Univ, Fac Environm & Urban Engn, Osaka, Japan
来源：
2017 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS 2017) | 2017年
关键词：
Tracking; Localization; Smart Devices; Self-Organizing Maps;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In large-scale indoor facilities such as airports, train stations, factories, and hospitals, the locations of mobile smart devices provide important information for grasping the activity state of people and the utilization state of things. Consequently, many indoor localization systems for people and things have been proposed. However, such systems require a large amount of localization equipment or advanced measurements of environmental physical characteristics, and thus they strongly depend on the infrastructure for localization. In this paper, we propose SmartFinder as a solution with extremely low dependence on the infrastructure. This localization system applies our previously proposed Cloud-based Self-Organizing Localization to mobile smart devices, such as smartphones carried by people and BLE devices attached to things. SmartFinder can track the location of many mobile smart devices with only three anchor nodes and in real time.
引用
收藏
页码：201 / 206
页数：6
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