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| title: Radar Lab | |
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| # Radar Lab · University of Arizona | |
| The **Radar Lab**, led by **Dr. Siyang Cao** in the Department of Electrical & | |
| Computer Engineering at the **University of Arizona** (Tucson, AZ), researches | |
| radar signal processing, multimodal sensor fusion, and machine learning for | |
| sensing. | |
| 🌐 **[radar.ece.arizona.edu](https://radar.ece.arizona.edu)** | |
| ## Research areas | |
| - mmWave radar signal processing & radar imaging | |
| - Multimodal sensor calibration and fusion (camera · LiDAR · radar) | |
| - Deep learning for sensing — CNNs, RNNs, and Transformers | |
| - 3D radar object detection, human pose estimation, and fall detection | |
| ## On this organization | |
| This is the Radar Lab's home for model and dataset artifacts. Paper-facing | |
| public releases also appear under the university org | |
| [**UArizona**](https://huggingface.co/UArizona); institutional and partner-only | |
| weights are hosted here as private repositories. | |
| ### Featured: XCalib | |
| Camera–LiDAR cross-modal matching for edge devices — targetless extrinsic | |
| calibration with pretrained matchers and ONNX/TensorRT export. | |
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| | 📦 Code | https://github.com/radar-lab/XCalib | | |
| | 📚 Docs | https://radar-lab.github.io/XCalib | | |
| | 🤗 Weights | [`UArizona/xcalib`](https://huggingface.co/UArizona/xcalib) | | |
| | 🗂️ Dataset | [`UArizona/xcalib-a9`](https://huggingface.co/UArizona/xcalib-a9) | | |
| | 🐍 PyPI | `pip install xcalib` | | |
| ## Contact | |
| Dr. Siyang Cao — caos@arizona.edu | |
| <sub>Supported in part by NSF, NIH, the U.S. Department of Transportation, and the City of Phoenix.</sub> | |