@inproceedings{478a283900d044d7b7f066947d5adbd1,
title = "A real-time indoor tracking system by fusing inertial sensor, radio signal and floor plan",
abstract = "The rapid growth of ubiquitous applications and location-based services has made indoor navigation an interesting topic. Some indoor localization solutions exploit radio information and Inertial Measurement Units (IMUs), which are embedded in most of the modern smartphones. In this paper, we present a real-time indoor localization approach that fuses WiFi Receiving Signal Strength Indicator (RSSI) readings, IMUs, and floor plan information in an enhanced particle filter. The algorithms are designed and implemented into a terminal-based system, which uses commercial smartphones and WiFi access points. Extensive real-world experiment results show that our tracking method can achieve the average tracking error of 1.7 meters and 90\% accuracy of 3.2 meters.",
keywords = "Indoor Localization, Inertial Measurement Units (IMUs), Particle Filter, Received Signal Strength Indicator (RSSI), WiFi",
author = "Carrera, \{Jose Luis\} and Zhongliang Zhao and Torsten Braun and Zan Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 ; Conference date: 04-10-2016 Through 07-10-2016",
year = "2016",
month = nov,
day = "14",
doi = "10.1109/IPIN.2016.7743701",
language = "英语",
series = "2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016",
address = "美国",
}