Research Publications
Discover our latest research contributions to the scientific community. Our publications span journal articles, conference papers, and technical reports in radar technology and related fields.
3D Radar and Camera Co-Calibration: A Flexible and Accurate Method for Target-Based Extrinsic Calibration
L. Cheng, A. Sengupta, S. Cao
A flexible calibration method for 3D radar and camera fusion using a single corner reflector with PnP, RANSAC, and Levenberg-Marquardt optimization. The method does not require specially designed calibration environments and achieves accurate extrinsic calibration through …
Robust Multiobject Tracking Using mmWave Radar-Camera Sensor Fusion
A. Sengupta, L. Cheng, S. Cao
A robust tracking framework using high-level monocular-camera and mmWave radar sensor-fusion. Improves localization accuracy through decision-level sensor fusion and provides robustness via tri-Kalman filter setup for continuous tracking despite single sensor failures.
Stabilizing Skeletal Pose Estimation using mmWave Radar via Dynamic Model and Filtering
S. Hu, A. Sengupta, S. Cao
This work presents a method for stabilizing skeletal pose estimation using mmWave radar through dynamic modeling and filtering techniques. Addresses the challenge of unstable pose estimates in radar-based systems by incorporating temporal consistency constraints.
mmFall: Fall Detection using 4D mmWave Radar and a Hybrid Variational RNN AutoEncoder
F. Jin, A. Sengupta, S. Cao
mmFall presents a hybrid variational RNN autoencoder architecture for fall detection using 4D mmWave radar. The system analyzes micro-Doppler and range-Doppler features with temporal modeling through RNN variants, achieving robust real-time fall detection while maintaining privacy. …
Automatic Radar-Camera Dataset Generation for Sensor-Fusion Applications
A. Sengupta, A. Yoshizawa, S. Cao
A novel approach that leverages YOLOv3 based highly accurate object detection from camera to automatically label point cloud data obtained from a co-calibrated radar sensor. Features co-calibration, clustering and association capabilities for automatically generating datasets containing …
NLP based Skeletal Pose Estimation using mmWave Radar Point-Cloud: A Simulation Approach
A. Sengupta, F. Jin, S. Cao
First approach to estimate 3D positions of 25 skeletal keypoints using simulated mmWave radar-like point-cloud data with natural language processing techniques. Demonstrates the potential of mmWave radars for sparse point-cloud representation with higher resolution than traditional …
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs
A. Sengupta, F. Jin, R. Zhang, S. Cao
A real-time human skeletal pose estimation system using CNNs trained on mmWave radar data. The approach achieves efficient inference suitable for edge deployment while maintaining high accuracy in pose tracking applications. First method to detect more …
MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring
F. Jin, A. Sengupta, S. Cao, Y. Wu
A multimodal traffic monitoring approach using high-resolution mmWave radar for point cloud representation. Applies multivariate Gaussian mixture model (GMM) for radar point cloud segmentation using point-wise classification in unsupervised learning for distinguishing pedestrians, cars, and bicycles. …
Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data
R. Zhang, S. Cao
A robust and adaptive radar point cloud clustering algorithm, named radar elliptical density-based spatial clustering of applications with noise (REDBSCAN). The proposed algorithm shows better clustering results for adapting to the arbitrary shape of targets as …
Extending Reliability of mmWave Radar Tracking and Detection via Fusion With Camera
R. Zhang, S. Cao
The proposed fusion system takes into consideration the error bounds of the two different coordinate systems from the heterogeneous sensors, and further a new fusion-extended Kalman filter is utilized to adapt to the heterogeneous sensors. Addresses …