The RFUAV DATASET

This repository contains the RFUAV dataset, presented in the paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". RFUAV provides approximately 1.3 TB of raw frequency data collected from 37 distinct UAVs, offering a comprehensive benchmark for radio-frequency-based drone detection and identification. The dataset addresses limitations of existing datasets by providing a diverse range of drone types, sufficient data volume, coverage across various signal-to-noise ratios (SNR), and open-access evaluation tools.

For detailed usage instructions, preprocessing methods, model evaluation tools, and code examples, please refer to the GitHub repository.

Citation

@misc{shi2025rfuavbenchmarkdatasetunmanned,
      title={RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification}, 
      author={Rui Shi and Xiaodong Yu and Shengming Wang and Yijia Zhang and Lu Xu and Peng Pan and Chunlai Ma},
      year={2025},
      eprint={2503.09033},
      archivePrefix={arXiv},
      primaryClass={cs.RO},
      url={https://arxiv.org/abs/2503.09033}, 
}