40 citations · 40 across the 4 of their papers we have counts for
4 papers
TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
Lei Cheng, Siyang Cao
Despite significant advancements in environment perception capabilities for autonomous driving and intelligent robotics, cameras and LiDARs remain notoriously unreliable in low-lig…
mmWave Radar for Sit-to-Stand Analysis: A Comparative Study with Wearables and Kinect
Shuting Hu, Peggy Ackun, Xiang Zhang +5
This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology. The goal is to develop a non-contact sensing, priva…
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors
Lei Cheng, Arindam Sengupta, Siyang Cao
Autonomous driving holds great promise in addressing traffic safety concerns by leveraging artificial intelligence and sensor technology. Multi-Object Tracking plays a critical rol…
3D Radar and Camera Co-Calibration: A Flexible and Accurate Method for Target-based Extrinsic Calibration
Lei Cheng, Arindam Sengupta, Siyang Cao
Advances in autonomous driving are inseparable from sensor fusion. Heterogeneous sensors are widely used for sensor fusion due to their complementary properties, with radar and cam…