Real-time 3D Indoor Localization

被引：0

作者：

Jaworski, Wojciech ^{[1
]}

Wilk, Pawel ^{[1
]}

Zborowski, Pawel ^{[1
]}

Chmielowiec, Witold ^{[1
]}

Lee, Andrew YongGwon ^{[1
]}

Kumar, Abhishek ^{[1
]}

机构：

[1] Samsung Elect, Suwon, South Korea

来源：

2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN) | 2017年

关键词：

Wi-Fi; PDR; LBS; 3D Particle Filter; Indoor Localization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

we present real time indoor localization in the multi-story building using 3D particle filter. Filtration takes place in three dimensional space. Presented method incorporates information from inertial sensors, Wi-Fi signal strength, barometric and building data. We also describe additional methods for determining final locations. Algorithm was tested in multi-story office building and results show that it performs better than particle filters running in two dimensional spaces. Furthermore we propose novel incorporation of floor detection algorithm into particle filter.

引用

页数：8

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