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  "doi": "doi:10.18434/mds2-2645",
  "title": "Context-aware mmWave RF Signals Dataset with Lidar and Camera",
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    "fn": "Steve Blandino",
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    "The dataset can be used to develop and test algorithms for a wide range of applications in communication, sensing, localization and computer vision. The dataset consists of measured indoor mm-wave signals jointly collected with 360degree camera and lidar.  The dataset is suitable for development and testing of machine/deep learning algorithms. The dataset can be used to participate to the ITU AI/ML 5G Challenge 2022.The dataset is part of the PS-004 ITU AI/ML in 5G Challenge: https://github.com/usnistgov/ML5G-PS-004Instructions to download the dataset:1. Python script: Download the Python script downloadDataset.py. The script requires Python3 and some additional modules (https://pypi.org/project/requests/). Install the required modules and run the script. 2. The script downloads the dataset to the current directory. Change saveDir variable if a different directory is desired. 3. Run the script. The download process will take long time. Run the script again if it fails to download all the files. It should verify the files that where already downloaded and start from where it stopped last time.Alternatively, use the the MATLAB script download_CAmmWaveRFDataset.m similarly to download the dataset.Dataset contains .jpg, .pcd and .mat. .mat files can be processed either using MATLAB or Phython."
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    "5G",
    "6G",
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    "map reconstruction",
    "RF",
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  "theme": [
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