Datasets:
| language: | |
| - en | |
| - zh | |
| license: apache-2.0 | |
| task_categories: | |
| - audio-classification | |
| tags: | |
| - signal-processing | |
| - drone-detection | |
| - drone-identification | |
| - rf-signal | |
| <h1 style="text-align:center;"> The RFUAV DATASET </h1> | |
| This repository contains the RFUAV dataset, presented in the paper "[RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification](https://huggingface.co/papers/2503.09033)". 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](https://github.com/kitoweeknd/RFUAV). | |
| ## 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}, | |
| } |