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

You Li | Zendy; Zhouzheng Gao | Zendy; Zhe He | Zendy; Peng Zhang | Zendy; Ruizhi Chen | Zendy; Naser El-Sheimy | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

You Li,

Zhouzheng Gao,

Zhe He,

Peng Zhang,

Ruizhi Chen,

Naser El-Sheimy

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2883869

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research