A review of recent advancements including machine learning on synthetic aperture radar using millimeter-wave radar

A Sengupta, F Jin, RA Cuevas… - 2020 IEEE Radar …, 2020 - ieeexplore.ieee.org
In this paper, we review recent and emerging Synthetic Aperture Radar (SAR) applications
using mm-Wave radar, ranging from concealed item detection to autonomous systems …

[PDF][PDF] mmwave radar: Enabling greater intelligent autonomy at the edge

R Ferguson, M Chevrier, A Rankin - Texas Instruments, 2018 - exhibitors.electronica.de
Traditionally, though, there have been limits to the effectiveness of these sensing
applications. Think about how often an automatic door opens when somebody moves …

A survey of mmWave-based human sensing: Technology, platforms and applications

J Zhang, R Xi, Y He, Y Sun, X Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

Accurate contact-free material recognition with millimeter wave and machine learning

S He, Y Qian, H Zhang, G Zhang, M Xu, L Fu… - … Conference on Wireless …, 2022 - Springer
Material recognition plays an essential role in areas including industry automation, medical
applications, and smart homes. However, existing material recognition systems suffer from …

Measuring radar and communication congruence at millimeter wave frequencies

A Graff, A Ali, N González-Prelcic - 2019 53rd Asilomar …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication enables high-rate vehicle-to-infrastructure (V2I)
communications by using larger bandwidths, but configuring mmWave links requires …

Cnn based target classification in vehicular networks with millimeter-wave radar

L Zhang, S Xu, J Li - 2022 IEEE 95th Vehicular Technology …, 2022 - ieeexplore.ieee.org
Millimeter-wave radar is widely used in intelligent vehicle infrastructure cooperative systems
(IVICS) because of its long detection distance, high integration and less affected by weather …

Application of deep learning on millimeter-wave radar signals: A review

FJ Abdu, Y Zhang, M Fu, Y Li, Z Deng - Sensors, 2021 - mdpi.com
The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

E Zhu, H Sun, M Ji - arXiv preprint arXiv:2401.01822, 2024 - arxiv.org
Connected and automated vehicles (CAVs) have become a transformative technology that
can change our daily life. Currently, millimeter-wave (mmWave) bands are identified as the …

Multi-vib: precise multi-point vibration monitoring using mmwave radar

Y Yang, H Xu, Q Chen, J Cao, Y Wang - Proceedings of the ACM on …, 2023 - dl.acm.org
Vibration measurement is vital for fault diagnosis of structures (eg, machines and civil
structures). Different structure components undergo distinct vibration patterns, which jointly …

Integrated sensing and communication between daily devices and mmwave radars

K Cui, Q Yang, L Shen, Y Zheng, J Han - Proceedings of the 20th ACM …, 2022 - dl.acm.org
Millimeter wave (mmWave) radar has demonstrated excellent performance in object tracking
and micro-displacement detection. Besides the powerful sensing function, this work brings …