In-vehicle monitoring by radar: A review

A Gharamohammadi, A Khajepour… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …

A symmetric bar chart-shape microwave sensor with high Q-factor for permittivity determination of fluidics

M Navaei, P Rezaei, S Kiani - International Journal of Microwave …, 2023 - cambridge.org
This paper introduces a symmetric bar chart-shape (SBCS) microwave sensor for measuring
permittivity of fluidic samples. For designing purposes, the introduced sensor was used …

Multitarget detection and tracking by mitigating spot jammer attack in 77-ghz mm-wave radars: An experimental evaluation

DK Kumuda, GS Vandana… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Small form factor radar sensors at millimeter wavelengths find numerous applications in the
industrial and automotive sectors. These radar sensors provide improved range resolution …

Multisensor information fusion: Future of environmental perception in intelligent vehicles

Y Zhang, C Tu, K Gao, L Wang - Journal of Intelligent and …, 2024 - ieeexplore.ieee.org
As urban transportation increasingly impacts daily life, efficiently utilizing traffic resources
and developing public transportation have become crucial for addressing issues such as …

Towards cross-environment human activity recognition based on radar without source data

Z Cao, Z Li, X Guo, G Wang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Radar-based human activity recognition (HAR) finds various applications like assisted living
and driver behavior monitoring. As radar data are heavily environment-dependent, it is …

Classification of driver head motions using a mm-wave FMCW radar and deep convolutional neural network

DG Bresnahan, Y Li - IEEE Access, 2021 - ieeexplore.ieee.org
Eight different driver head movements are measured using a millimeter-wave FMCW radar
mounted in the dashboard of a car. The micro-Doppler signatures are converted into a …

Drowsiness detection system using deep learning based data fusion approach

G Yogarajan, RN Singh, SA Nandhu… - Multimedia Tools and …, 2024 - Springer
Drowsy driving is a major cause of road accidents worldwide, and detecting drowsiness in
drivers is critical to improving road safety. In this work, we developed a system for detecting …

Impact and Classification of Body Stature and Physiological Variability in the Acquisition of Vital Signs Using Continuous Wave Radar

B Soares, C Gouveia, D Albuquerque, P Pinho - Applied Sciences, 2024 - mdpi.com
The Bio-Radar system, useful for monitoring patients with infectious diseases and detecting
driver drowsiness, has gained popularity in the literature. However, its efficiency across …

One‐shot learning‐based driver's head movement identification using a millimetre‐wave radar sensor

HN Nguyen, S Lee, TT Nguyen… - IET Radar, Sonar & …, 2022 - Wiley Online Library
Concentration of drivers on traffic is a vital safety issue; thus, monitoring a driver being on
road becomes an essential requirement. The key purpose of supervision is to detect …

BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic Reflectors

M Tang, P Teckchandani, J He, H Guo… - Proceedings of the 22nd …, 2024 - dl.acm.org
Recent regulations on monitoring infants and children in vehicle cabins have spurred
interest in using Millimeter-wave (mmWave) radars due to their reliability in various lighting …