README.md

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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

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; 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
🗂️ Dataset	UArizona/xcalib-a9
🐍 PyPI	pip install xcalib

Contact

Dr. Siyang Cao — caos@arizona.edu

_{Supported in part by NSF, NIH, the U.S. Department of Transportation, and the City of Phoenix.}