Our Research Projects
We are actively working on cutting-edge research projects that advance the field of radar technology and multimodal sensing. Our projects span from fundamental research to practical applications.
Human Pose Estimation
mmPose-FK: dynamic forward kinematics with deep learning for stable radar-based pose tracking
Fall Detection System
Privacy-preserving mmWave radar and deep learning to detect falls in real time
Multimodal Sensor Calibration - Targetless
Online automatic calibration using deep learning and common feature extraction
Object Tracking via Multimodal Sensor System - Deep Learning Approach
Bi-LSTM based robust multi-object tracking via radar-camera fusion
Radar Detector based on Transformer
TransRAD: Retentive Vision Transformer for enhanced 3D radar object detection
Multimodal Sensor Calibration - Target based
Flexible extrinsic calibration using corner reflector with PnP/RANSAC/LM optimization
Object Tracking via Multimodal Sensor System - Tri-Kalman Approach
Robust tracking using tri-Kalman filters and decision-level sensor fusion
Automotive Radar Interference Mitigation
Adaptive noise canceller for FMCW radar to improve SIR and reduce ghost targets
Human Behavior Classification
Real-time multi-patient behavior detection using radar and deep CNNs
Interested in Collaborating?
We're always looking for new collaborations and partnerships on innovative research projects.
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