[time]
2023-07-18T05:13:22+02:00

[track]
3

[team_name]
QAQ

[team_institution]
Xiamen University

[logolink]


[team_members]


[reference_person]
Zheng Shiyu

[reference_email]
502723158@qq.com

[description_short]
Our multi-source indoor positioning system integrates data from an Inertial Measurement Unit (IMU), Wi-Fi, magnetometer, barometer, and indoor maps to achieve precise indoor localization.

The system utilizes the Inverted Pendulum Model-based Pedestrian Dead Reckoning (PDR) technique to estimate the user's position.

In addition to PDR, the system incorporates Wi-Fi and Bluetooth data to create fingerprint maps. Fingerprint matching is employed to determine the user's current position, while changes in barometric pressure aid in floor level detection. The data from each component is fused using a factor graph-based approach, specifically based on gtsam, to achieve accurate and reliable positioning results.

[description_long_link]
https://docs.google.com/document/d/1a8Tgik9_Fm3ZoJaLz2qYKiBcJBNZd7hH/edit?usp=sharing

[ouid]
104322445039954161510

[rtpof]
true

[sd]
true

[publish_check_]
true

[results_check_]
true

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true

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true

[video_check_]
true