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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.

| | |
|---|---|
| 📦 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>