[time]
2023-07-31T17:43:36+02:00

[track]
5

[team_name]
BUPTer

[team_institution]
Beijing University of Post and Telecommunication, China (BUPT)

[logolink]


[team_members]
Fan Yin

[reference_person]
Chaoyi Xu

[reference_email]
305882771@qq.com

[description_short]
Our project aims to achieve precise positioning by utilizing an Inertial Measurement Unit (IMU) as the primary navigation sensor, along with additional sensors such as Bluetooth Low Energy (BLE) and Received Signal Strength Indicator (RSSI). However, we acknowledge that the inherent integration process of Pedestrian Dead Reckoning (PDR) using mobile-phone grade IMUs, which are less accurate and more prone to individual walking styles, can lead to cumulative errors. Therefore, we propose to incorporate BLE and RSSI data to assist the inertial navigation system, leveraging a fuzzy matching technique to mitigate the accumulation of errors.
To reduce disturbances from electromagnetic interference or sensor errors, we plan to implement a filtering and fusion algorithm using only the available accelerometer and gyroscope data. We will intermittently calibrate for path deviations using a subset of actual location data, which will involve the conversion of longitude and latitude coor

[description_long_link]
https://github.com/yinfan98/IPIN2023_BUPTer/blob/main/Track5-Long system description.pdf

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