[time]
2020-11-25T05:48:37+01:00

[team_name]
XMU ATR

[team_institution]
Xiamen University

[logolink]


[system_name]
XMU_PDR

[website]


[track]
3

[reference_person]
Lingxiang Zheng

[email]
lxzheng@xmu.edu.cn

[description]
The XMU_PDR system is a multi-sensor fusion system for indoor positioning. It fuses the information provided by inertial measurement unit, magnetometer, barometer, WIFI, GNSS and light sensor and the maps. It calculates the PDR trajectory using the data of accelerometer and gyroscope firstly. By using all the sensors information, the ubiquitous context awareness positions were found out to eliminate the accumulated drift error. The magnetic fingerprint was collected using the sensor data in the training set. The dynamic time warping algorithm is used to match the trajectory with the trajectories in the training set. At the same time, the trajectory is corrected according to the map information, and the optimal estimation under the map constraint is realized according to the constraint of walls and special positions such as the staircase and doorway. The barometer data and WiFi data in the training set are also used to predict the changes of floor.

[references]