试验台
三边测量
计算机科学
杠杆(统计)
利用
可见光通信
模棱两可
视差
发光二极管
频道(广播)
实时计算
计算机硬件
人工智能
电信
计算机安全
工程类
电气工程
计算机网络
结构工程
节点(物理)
程序设计语言
作者
Liqun Li,Pan Hu,Chunyi Peng,Guobin Shen,Feng Zhao
标识
DOI:10.5555/2616448.2616479
摘要
Exploiting the increasingly wide use of Light-emitting Diode (LED) lighting, in this paper, we study the problem of using visible LED lights for accurate localization. The basic idea is to leverage the existing lighting infrastructure and apply trilateration to localize any devices with light sensing capability (e.g., a smartphone), using LED lamps as anchors. Through the design of Epsilon, we identify and tackle several technique challenges. In particular, we establish and experimentally verify the optical channel model for localization. We adopt BFSK and channel hopping to enable reliable location beaconing from multiple, uncoordinated light sources over the shared optical medium. We handle realistic situations towards robust localization, for example, we exploit user involvement to resolve the ambiguity in case of insufficient LED anchors. We have implemented the Epsilon system and evaluated it with a small scale hardware testbed as well as moderate-size simulations. Experimental results confirmed the effectiveness of Epsilon: the 90th percentile accuracies are 0.4m, 0.7m and 0.8m for three typical office environments. Even in the extreme situation with a single light, the 90th percentile accuracy is 1.1m. We believe that visible light based localization is promising to significantly improve the positioning accuracy, despite few open problems in practice.
科研通智能强力驱动
Strongly Powered by AbleSci AI