[time]
2022-07-05T05:17:23+02:00

[track]
3

[team_name]
O_Navi

[team_institution]
OPPO Research Institute,Shanghai

[logolink]


[team_members]


[reference_person]
shanchunxiang

[reference_email]
shanchunxiang@oppo.com

[description_short]
We takes IMU and WiFi measurements as input and outputs 6-DOF poses. This system mainly consists of three components, a data-driven PDR, a data-driven WiFi localization and an optimization-based fusion. For PDR, we use Magdwick algorithm to provide absolute rotation states Rˆ. Then the translation module takes the orientation and IMU measurements to regress the position state pˆ accompanied with its uncertaint  uˆ. Concerning WiFi localization, we use a“Fusion BSSID-RSSI” feature through a FBR-LSTM network to get the absolute positioning estimation. With regard to fusion part, we use a nonlinear optimization method to fuse the results of PDR and WiFi localization to achieve accurate and robust indoor positioning.

[description_long_link]
https://www.softconf.com/m/ipin2022/user/scmd.cgi?scmd=aLogin

[passcode]
61X-D6P9B3C7E5

[publish_check_]
true

[results_check_]
true

[data_check_]
true

[pdf_check_]
true

[video_check_]
true