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

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

Blog Article

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 Left Seat Adjustment Lever floor detection is further integrated with the barometer data Right Foot Pedal 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.