[time]
2022-08-16T09:22:21+02:00

[track]
3

[team_name]
BUPT-ICT

[team_institution]
 Beijing University of Posts and Telecommunications, Institute of Computing Technology, Chinese Academy of Sciences (CN)

[logolink]


[team_members]


[reference_person]
Yaqi Li, Shichen Ma

[reference_email]
leeyaqi@bupt.edu.cn

[description_short]
Our system was mainly employed Wi-Fi, GNSS, barometer, magnetometer, accelerometer and gyroscope data. Wi-Fi fingerprints were used to estimate the position, Drift compensation and accuracy position estimation was performed by a particle filter using the INS data, indoor magnetic field and the information of floor plans. Indoor/outdoor transition detection was implemented by a Hidden Markov Model using GNSS, Floor detection was based on received signal strength indicator (RSSI) and barometer data.

[description_long_link]
https://1drv.ms/w/s!AkCBc6fNjGtsgQH0_hr611jV2kdr

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true

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true

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