Error Minimizing Algorithm for Indoor Localization

被引：0

作者：

Tang, Y. F. ^{[1
]}

Kan, S. L. ^{[1
]}

Achache, A. ^{[2
]}

Bouiedya, A. ^{[2
]}

Chen, X. ^{[2
]}

机构：

[1] Nanyang Polytech Singapore, Sch Engn, Singapore, Singapore

[2] ESIEE Paris, Sch Engn, Paris, France

来源：

2016 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC 2016): TOWARDS SMARTER HYPER-CONNECTED WORLD | 2016年

关键词：

indoor localization; multi-sensor; sensor networking; error minimization; internet of things;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Indoor location based services are increasingly important as majority of the population in highly urbanized city lives in high rise buildings. However, without a purposed-built indoor localization system like indoor Global Positioning System (GPS) or extensive survey required by fingerprinting methodology, indoor localization is not possible and useful. In this paper, we demonstrate an error minimization algorithm with inputs from multiple sensors like accelerometers, gyroscopes and magnetometers could be used to auto-correct the drift in these sensors.

引用

页码：334 / 339

页数：6

共 8 条

[1]

[Anonymous], LOW COST INDOOR POSI

[2]

Aydogdu C., 2013, INT C IND POS IND NA, P105

[3]

Chintalapudi K., 2010, P 16 ACM ANN INT C M

[4]

He Xiang, PROBABILISTIC MULTIS

[5]

Mathioudakis K., 2013, INT J INFORM TECHNOL, V8

[6]

So-In Chakchai, SOFT COMPUTING BASED

[7]

Trein G., SIMPLE APPROACH INDO

[8] WILL: Wireless Indoor Localization without Site Survey [J].

Wu, Chenshu ;

Yang, Zheng ;

Liu, Yunhao ;

Xi, Wei .

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2013, 24 (04) :839-848

← 1 →