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<p class="eyebrow">University of Arizona · Electrical & Computer Engineering</p>
<h1>Radar Lab<span class="dot">.</span></h1>
<p class="lede">Radar signal processing, multimodal sensor fusion, and machine
learning for sensing — led by Dr. Siyang Cao.</p>
<a class="site" href="https://radar.ece.arizona.edu">radar.ece.arizona.edu →</a>
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<h2>Research areas</h2>
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<div class="area"><b>mmWave radar</b><span>Signal processing & radar imaging</span></div>
<div class="area"><b>Sensor fusion</b><span>Camera · LiDAR · radar calibration</span></div>
<div class="area"><b>Deep learning</b><span>CNNs, RNNs, and Transformers for sensing</span></div>
<div class="area"><b>Perception</b><span>3D detection, pose estimation, fall detection</span></div>
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<h2>Featured release</h2>
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<h3>XCalib</h3>
<p>Camera–LiDAR cross-modal matching for edge devices — targetless extrinsic
calibration with pretrained matchers and ONNX/TensorRT export.</p>
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<a href="https://github.com/radar-lab/XCalib">Code</a>
<a href="https://radar-lab.github.io/XCalib">Docs</a>
<a href="https://huggingface.co/UArizona/xcalib">Weights</a>
<a href="https://huggingface.co/UArizona/xcalib-a9">Dataset</a>
<a href="https://pypi.org/project/XCalib/">PyPI</a>
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<p style="margin-top:14px"><code>pip install xcalib</code></p>
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<div class="who">Dr. Siyang Cao · <a href="mailto:caos@arizona.edu">caos@arizona.edu</a></div>
<div>Department of Electrical & Computer Engineering, University of Arizona, Tucson, AZ</div>
<div class="fund">Supported in part by NSF, NIH, the U.S. Department of Transportation, and the City of Phoenix.</div>
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