Multi-Sensor Multi-Floor 3D Localization With Robust Floor Detection

IEEE Access

Naser El-Sheimy¹  Zhe He¹  You Li¹  Zhouzheng Gao²  Ruizhi Chen³  Peng Zhang³ 

[1] Department of Geomatics Engineering, University of Calgary, Calgary, Canada;School of Land Science and Technology, China University of Geosciences Beijing, Beijing, China;State Key Laboratory of Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;

关键词: Internet of Things;    indoor localization;    wireless received signal strength;    inertial navigation;    magnetometer sensor;    barometer;   

DOI  :  10.1109/ACCESS.2018.2883869

来源: DOAJ

【 摘 要 】

Location has become an essential part of the next-generation Internet of Things systems. This paper proposes a multi-sensor-based 3D indoor localization approach. Compared with the existing 3D localization methods, this paper presents a wireless received signal strength (RSS)-profile-based floor-detection approach to enhance RSS-based floor detection. The profile-based floor detection is further integrated with the barometer data to gain more reliable estimations of the height and the barometer bias. Furthermore, the data from inertial sensors, magnetometers, and a barometer are integrated with the RSS data through an extend Kalman filter. The proposed multi-sensor integration algorithm provided more robust and smoother floor detection and 3D localization solutions than the existing methods.

【 授权许可】

Unknown