Stay updated with the latest developments, achievements, and announcements from our research laboratory.
The UA Radar Group publishes TransRAD, a Retentive Vision Transformer framework advancing 3D radar object detection in Range-Azimuth-Doppler space.
A 2024 survey on radar-based fall detection recognizes contributions from Dr. Cao's group as foundational in the field.
The UA radar group publishes mmPose-FK, integrating mmWave radar with forward kinematics for stable skeletal pose estimation.
Dr. Siyang Cao receives a NIH Trailblazer Award to develop mmWave radar systems for fall risk analysis and prevention in older adults.
Dr. Cao and grad student Arindam Sengupta propose a method to auto-label radar data using object detection from camera streams.