[time]
2020-11-24T11:07:45+01:00

[team_name]
Kawaguchi Lab

[team_institution]
Nagoya university

[logolink]


[system_name]


[website]


[track]
5

[reference_person]
Takuto Yoshida

[email]
takuto@ucl.nuee.nagoya-u.ac.jp

[description]
For xDR Challenge 2020 (IPIN 2020 competition track 5), we propose a robust xDR for a target to track based on a velocity estimation method using a neural network. A trajectory estimation by this method consists of the following three steps: 1) an end-to-end speed estimation using a neural network based on LSTM. 2) A heading estimation by integrating angular velocity on the z-axis which is a projection of angular velocity to gravity. 3) Correcting the trajectory calculated from speed and heading using BLE beacon signal, reference point, and map. Our challenge is how to extend the velocity estimation method originally intended for PDR to VDR.

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