Welcome to the University of Arizona Radar Lab

We focus on radar signal processing, multimodal sensor fusion, machine learning with an emphasis on sensors, and radar imaging

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Human pose estimation using radar technology
Radar signal processing and imaging
Target-based radar detection systems

Research Projects

Discover our latest research projects and innovations

Radar Detector based on Transformer
Completed

Radar Detector based on Transformer

TransRAD: Retentive Vision Transformer for enhanced 3D radar object detection

mmWave Radar Retentive Vision Transformer Deep Learning
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Human Pose Estimation
In Progress

Human Pose Estimation

mmPose-FK: dynamic forward kinematics with deep learning for stable radar-based pose tracking

mmWave Radar Deep Learning (CNN) Forward Kinematics
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Fall Detection System
In Progress

Fall Detection System

Privacy-preserving mmWave radar and deep learning to detect falls in real time

mmWave Radar Deep Learning (CNN/RNN) Micro-Doppler Analysis
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Multimodal Sensor Calibration - Target based
Completed

Multimodal Sensor Calibration - Target based

Flexible extrinsic calibration using corner reflector with PnP/RANSAC/LM optimization

3D Radar Camera PnP Algorithm
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Our Sponsors & Partners

City of Phoenix NITC U.S. Department of Transportation National Institutes of Health National Science Foundation Sony Corporation Keysight Technologies ALPS Alpine