On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
Rethinking Doppler effect for accurate velocity estimation with commodity WiFi devices
Enabling pervasive WiFi devices with non-contact sensing capability is an important topic in
the field of integrated sensing and communication. Doppler effect has been widely exploited …
the field of integrated sensing and communication. Doppler effect has been widely exploited …
Human presence sensing and gesture recognition for smart home applications with moving and stationary clutter suppression using a 60-GHz digital beamforming …
With the advancement of radio frequency (RF) assisted smart home technology, it is critical
for the RF sensors deployed indoors to isolate the target of interest from unwanted clutter …
for the RF sensors deployed indoors to isolate the target of interest from unwanted clutter …
Model-based data augmentation applied to deep learning networks for classification of micro-Doppler signatures using FMCW radar
N Rojhani, M Passafiume… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs) have become a relevant subject in the classification of radio
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
A short-range FMCW radar-based approach for multi-target human-vehicle detection
In this article, a new microwave-radar-based technique for short-range detection and
classification of multiple human and vehicle targets crossing a monitored area is proposed …
classification of multiple human and vehicle targets crossing a monitored area is proposed …
Radar human activity recognition with an attention-based deep learning network
S Huan, L Wu, M Zhang, Z Wang, C Yang - Sensors, 2023 - mdpi.com
Radar-based human activity recognition (HAR) provides a non-contact method for many
scenarios, such as human–computer interaction, smart security, and advanced surveillance …
scenarios, such as human–computer interaction, smart security, and advanced surveillance …
FMCW radar estimation algorithm with high resolution and low complexity based on reduced search area
We propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm
with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms …
with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms …
[HTML][HTML] UWB-HA4D-1.0: 超宽带雷达人体动作四维成像数据集
金添， 宋永坤， 戴永鹏， 胡锡坤， 宋勇平， 周小龙… - 雷达学报, 2022 - radars.ac.cn
雷达人体行为感知系统具有穿透探测能力, 在安防, 救援, 医疗等领域具有广泛的应用前景.
近年来, 深度学习技术的出现促进了雷达传感器在人体行为感知领域的发展 …
近年来, 深度学习技术的出现促进了雷达传感器在人体行为感知领域的发展 …
Recognition of approximate motions of human based on micro-Doppler features
With the aging society approaching, the daily safety of the elderly has attracted more and
more people's attention, especially the elderly who live alone without anyone to take care of …
more people's attention, especially the elderly who live alone without anyone to take care of …
Cost-efficient FMCW radar for multi-target classification in security gate monitoring
A prototype of a radar system for classification of multiple targets passing through a road
gate is presented in this paper. It allows to identify different types of targets, ie, pedestrians …
gate is presented in this paper. It allows to identify different types of targets, ie, pedestrians …