Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
Contactless electrocardiogram monitoring with millimeter wave radar
The electrocardiogram (ECG) has always been an important biomedical test to diagnose
cardiovascular diseases. Current approaches for ECG monitoring are based on body …
cardiovascular diseases. Current approaches for ECG monitoring are based on body …
Radar perception in autonomous driving: Exploring different data representations
With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
mmGesture: Semi-supervised gesture recognition system using mmWave radar
Gesture recognition has found versatile applications in natural human–computer interaction
(HCI). Compared with traditional camera-based or wearable sensors-based solutions …
(HCI). Compared with traditional camera-based or wearable sensors-based solutions …
Real-time fall detection using mmwave radar
Fall is a severe health threat for elders' health care. While existing systems could achieve
promising performance under specific scenarios, the required computing resources are …
promising performance under specific scenarios, the required computing resources are …
Dream-pcd: Deep reconstruction and enhancement of mmwave radar pointcloud
Millimeter-wave (mmWave) radar pointcloud offers attractive potential for 3D sensing, thanks
to its robustness in challenging conditions such as smoke and low illumination. However …
to its robustness in challenging conditions such as smoke and low illumination. However …
Rf genesis: Zero-shot generalization of mmwave sensing through simulation-based data synthesis and generative diffusion models
This paper presents RF Genesis (RFGen), a novel and cost-effective method for
synthesizing RF sensing data using cross-modal diffusion models, in order to improve the …
synthesizing RF sensing data using cross-modal diffusion models, in order to improve the …
Unsupervised domain adaptation for rf-based gesture recognition
Human gesture recognition with radio frequency (RF) signals has attained acclaim due to
the omnipresence, privacy protection, and broad coverage nature of RF signals. These …
the omnipresence, privacy protection, and broad coverage nature of RF signals. These …
TFSemantic: A Time–Frequency Semantic GAN Framework for Imbalanced Classification Using Radio Signals
Recently, wireless sensing techniques have been widely used for Internet of Things (IoT)
applications. Unlike traditional device-based sensing, wireless sensing is contactless …
applications. Unlike traditional device-based sensing, wireless sensing is contactless …
End-to-end dynamic gesture recognition using mmWave radar
Millimeter-wave (mmWave) radar sensors are a promising modality for gesture recognition
as they can overcome several limitations of optic sensors typically used for gesture …
as they can overcome several limitations of optic sensors typically used for gesture …