Poster Abstract: Indoor Localization with Passerby Data in Parasitic Approach

被引：0
|
作者：
Gomi, Hidehito [1 ]
Tsubouchi, Kota [1 ]
Teraoka, Teruhiko [1 ]
机构：
[1] Yahoo Japan Corp, Tokyo, Japan
来源：
PROCEEDINGS OF THE TWENTIETH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2022 | 2022年
关键词：
indoor localization; location logging; mobile sensing;
D O I：
10.1145/3560905.3568048
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose an innovative indoor localization approach to constructing user trajectories for indoor spaces where GPS signals are unavailable. The results of a simulation experiment demonstrate the effectiveness of the proposed approach and shed light on a new value for obtaining accurate positions indoors.
引用
收藏
页码：829 / 830
页数：2
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