Time-of-flight Wireless Indoor Navigation System for Industrial Environment

被引：4
|
作者：
Rea, Maurizio [1 ,2 ]
Cordobes, Hector [1 ]
Giustiniano, Domenico [1 ]
机构：
[1] IMDEA Networks Inst, Madrid, Spain
[2] Univ Carlos III Madrid, Madrid, Spain
来源：
WINTECH'19: PROCEEDINGS OF THE 13TH INTERNATIONAL WORKSHOP ON WIRELESS NETWORK TESTBEDS, EXPERIMENTAL EVALUATION & CHARACTERIZATION | 2019年
关键词：
D O I：
10.1145/3349623.3355476
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We introduce TWINS, Time-of-flight based Wireless Indoor Navigation System, that estimates in near real-time the position of commercial off-the-shelf (COTS) devices equipped with WiFi. TWINS uses COTS WiFi Access Points (APs) and it does not require access to any inertial sensors on the mobile devices. We study the performance of TWINS in a harsh environment, strongly affected by the presence of metallic objects. The scenario can be considered representative of an industrial indoor environment with open spaces surrounded by metal obstacles. We experimentally show that our system can localize four mobile robots tracked together, with median error between 1.8 and 3.8 m.
引用
收藏
页码：37 / 44
页数：8
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