Pedestrian Indoor Localization Using IoT Sensors RSSI Signal Strength Measurement

被引：0
|
作者：
Vechet, Stanislav [1 ]
Krejsa, Jiri [1 ]
机构：
[1] Brno Univ Technol, Fac Mech Engn, Inst Solid Mech Mechatron & Biomech, Brno, Czech Republic
来源：
MECHATRONICS 2019: RECENT ADVANCES TOWARDS INDUSTRY 4.0 | 2020年 / 1044卷
关键词：
Signal strength measurement; Indoor localization; IoT;
D O I：
10.1007/978-3-030-29993-4_21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Pedestrian indoor localization can improve safety within various hazardous environments or increase a living standard in high density urban environment. The paper address the pedestrian localization in hazardous industrial indoor environment and develop an approach to be able to localize person within range of sub-meter accuracy. Thus we can detect the presence of an operator in forbidden or danger zone and the possible injury or death can be avoided. Our approach is based on RSSI signal strength measurements of IQRF sensors and we uses a particle filters for localization. We have found that our results exceeded our expectations and we are able to localize each person with required accuracy.
引用
收藏
页码：164 / 171
页数：8
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