Research on Multi-Storey Indoor Wifi Positioning Algorithm based on Image Recognition

DOI

10.2991/eeeis-17.2017.40How to use a DOI?

Keywords

fingerprint; storey discrimination; indoor positioning; map information; image recognition

Abstract

Abstract.To address the inaccuracy of multi-storey indoor positioning, the paper proposes a method involving WiFi fingerprint positioning based on the prior information of map environment and position correction based on the image recognition technique. First, we establish a model of map environment information at the off-line stage, then identify the storey using the storey discrimination algorithm of the RSSI threshold value, and finally compute the approximate position of the terminal in combination with the map information model. Meanwhile, the image recognition technique is employed to correct the terminal position. Compared with the traditional fingerprint positioning method, the indoor positioning technique can not only improve the positioning accuracy but also reduce the complexity of the fingerprint matching computation at the on-line stage.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hao DING
AU  - Lei WANG
AU  - Ya-Nan LIU
AU  - Jing-Qi DENG
AU  - Ming-Jun ZHAO
PY  - 2017/09
DA  - 2017/09
TI  - Research on Multi-Storey Indoor Wifi Positioning Algorithm based on Image Recognition
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 292
EP  - 298
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.40
DO  - 10.2991/eeeis-17.2017.40
ID  - DING2017/09
ER  -