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HuMoLiRe is a Pedestrian Dead-Reckoning Particle Filter Map-aided system that leverages human motion likelihood in indoor spaces to estimate their position. This repository is the dataset and software published with its paper.

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Citation

This dataset and software is related to a publication in a journal which is currently being under review. (we will be back asap)

Introduction

This program runs on python3.8+. It is recommanded to use PyCharm. (it can easily be turned into older version by editing every print(f"{variable=})" call)

Requirements

requirements.txt lists:

  • numpy~=1.21
  • matplotlib~=3.3.3
  • scipy~=1.5.4
  • AHRS~=0.3.0
  • imageio~=2.9.0
  • tqdm~=4.51.0
  • opencv-python~=4.5.1.48

Optional:

  • adjustText~=0.7.3
  • requests~=2.22.0

Folder structure:

.
├── data
├── docs
├── humolire
├── map_editor
├── README.md
├── requirements.txt
└── tests

Documentation:

There are many README.MD files in the folders about. The main entry point is main.py. There is a beginning of documentation at read the docs. I don't have much time. If you want to help in documentation, I would be immensely grateful.

Contribution:

  • If you have research a question, please reach me by email: [email protected]
  • If you have a question about the code, open an issue
  • If you wanna help documenting (I lack the time and skills to do that correctly), open an issue. Thank you!

LICENSE

Humolire Dataset and Software by Anis GHAOUI is licensed under a Creative Commons Attribution 4.0 International License.

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HuMoLiRe is a Pedestrian Dead-Reckoning Particle Filter Map-aided system that leverages human motion likelihood in indoor spaces to estimate their position. This repository is the dataset and software published with its paper.

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