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 …

Learning-refined integral null space pursuit algorithm for noncontact multisubjects vital signs measurements using SFCW-UWB and IR-UWB radar

L Qiao, X Li, B Xiao, M He, X Bi, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Under low signal-to-noise-and-clutter ratio circumstances, noncontact multisubjects vital
sign assessment based on ultrawideband (UWB) radar is extremely difficult. It is challenging …

Spectral Unmixing Successive Variational Mode Decomposition for Robust Vital Signs Detection Using UWB Radar

L Qiao, Z Wang, B Xiao, Y Shu, X Luan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The evaluation of clinical status and vital signs is a crucial component of remote medical
care. Radar provides a noncontact monitoring measurement without consideration of …

A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions

M Cheraghinia, A Shahid, S Luchie… - arXiv preprint arXiv …, 2024 - arxiv.org
Due to their large bandwidth, relatively low cost, and robust performance, UWB radio chips
can be used for a wide variety of applications, including localization, communication, and …

High-resolution Magnetic Imaging Probe with Staggered Sensor Arrays for Small Defects Inspection

H Dong, P Qi, J Han, N Zhang, C Long… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The earlier deficiencies are detected, the better health and safety of an industrial structure
can be maintained. To this aim, tools that can detect small defects are required. However, it …

People Flow Detection Algorithm Based on a Multiencoder-Classifier Cotraining Architecture for FMCW Radar

Z Cao, Z Wu, X Yu, C Song, Z Xu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning (DL) frameworks are widely used in various applications due to their
superiority over conventional handcrafted feature-based algorithms. However, applying DL …

In-Vehicle Passenger Occupancy Detection Using 60 GHz FMCW Radar Sensor

S Lim, J Jung, E Lee, J Choi… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Modern autonomous driving vehicles are equipped with a number of sensors to perceive the
surrounding environment and enable automation of various systems. Especially, the …

Multi-Bin Breathing Pattern Estimation by Radar Fusion for Enhanced Driver Monitoring

A Gharamohammadi, M Pirani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Monitoring the status of the driver is a crucial aspect of health monitoring inside vehicles as it
helps to identify potential health or safety risks that could affect a driver's ability to operate a …

A visual faulty feeder detection method for power distribution network based on spatial image generation and deep learning

W Guo, Y Shi - IET Generation, Transmission & Distribution, 2023 - Wiley Online Library
In the case of a single‐phase grounding fault in the distribution network, the transient zero‐
sequence current (TZSC) tends to be non‐linear and non‐stationary. The faulty line …

Angle-Weighted trilateration method fusing multi-data processing technologies in indoor scene

L Zang, J Jiao, J Wang, N Ding, Z Wang, X Min - Digital Signal Processing, 2024 - Elsevier
The trilateration method based on Ultra-Wideband (UWB) technology is widely used in
indoor positioning. However, the complexity of indoor environment will affect the …