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IEZ

An INS-EKF-ZUPT for Pedestrian Dead Reckoning

Install / Use

/learn @pajaraca/IEZ
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

IEZ

An Inertial Navigation System - Extended Kalman Filter - ZUPT for Pedestrian Dead Reckoning (IEZ-PDR).<br>

Datasets:

All dataset where collected using two foot mounteds MPU6050 at 100Hz and each file has two sets of measurements.<br>

References:

[1] FISCHER, Carl; SUKUMAR, Poorna Talkad; HAZAS, Mike. Tutorial: Implementing a pedestrian tracker using inertial sensors. IEEE pervasive computing, v. 12, n. 2, p. 17-27, 2012.<br> [2] JIMÉNEZ, Antonio Ramón et al. Indoor pedestrian navigation using an INS/EKF framework for yaw drift reduction and a foot-mounted IMU. In: 2010 7th workshop on positioning, navigation and communication. IEEE, 2010. p. 135-143.<br> [3] FOXLIN, Eric. Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer graphics and applications, v. 25, n. 6, p. 38-46, 2005.<br> [4] ROCHA, Rodolfo Nícolas et al. Avaliação de Unidade de Medição Inercial Utilizando Técnicas de Reconstrução de Trajetória de Pedestres. In: Anais Estendidos do XI Simpósio Brasileiro de Engenharia de Sistemas Computacionais. SBC, 2021. p. 24-31.<br>

View on GitHub
GitHub Stars52
CategoryDevelopment
Updated1mo ago
Forks10

Languages

Python

Security Score

85/100

Audited on Feb 25, 2026

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