Showing 6 open source projects for "indoor localization"

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  • 1
    hloc

    hloc

    Visual localization made easy with hloc

    This is hloc, a modular toolbox for state-of-the-art 6-DoF visual localization. It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable. This codebase won the indoor/outdoor localization challenges at CVPR 2020 and ECCV 2020, in combination with SuperGlue, our graph neural network for feature matching. We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using SfM. ...
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  • 2
    PLaTHEA

    PLaTHEA

    People Localization and Tracking for HomE Automation

    PLaTHEA is a stereo vision based indoor localization and tracking system. The system acquires a stereo video stream from different kind of input devices included not-synchronized network cameras. An usage tutorial for an older is provided at http://www.dis.uniroma1.it/~leotta/demos/plathea/plathea.html. If you want to use this code please cite the research paper at https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.2262.
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  • 3
    FrancescoMontorsi ScientificResearch

    FrancescoMontorsi ScientificResearch

    Scientific research work of Francesco Montorsi,Univ. of Modena, Italy

    This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research.
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  • 4
    A small web application able to generate dynamic charts from data collected by our personal weather station ( like WH-1080 and others ).
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  • 5
    GRAIL Real Time Location Service (RTLS)
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  • 6
    the project aims to create code in matlab that can used for simulating map based navigation algorithms for indoor robots . The idea behind the project is to come up with an alternative for particle filtering based methods for robot localization.
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