Review of IoT sensor systems used for monitoring the road infrastructure

K Micko, P Papcun, I Zolotova - Sensors, 2023 - mdpi.com
An intelligent transportation system is one of the fundamental goals of the smart city concept.
The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the …

Passenger occupancy estimation in vehicles: A review of current methods and research challenges

P Kuchár, R Pirník, A Janota, B Malobický, J Kubík… - Sustainability, 2023 - mdpi.com
Passenger detection and occupancy estimation are vital tasks in many fields. The existing
literature emphasises that the increasing demand for such systems will continue to grow …

3-D indoor positioning based on passive radio frequency signal strength distribution

L Yuan, H Chen, R Ewing… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In recent years, indoor positioning systems (IPSs) have received attention from many
research fields, such as robotics, navigation, human–computer interaction, etc. However …

Interpretable passive multi-modal sensor fusion for human identification and activity recognition

L Yuan, J Andrews, H Mu, A Vakil, R Ewing, E Blasch… - Sensors, 2022 - mdpi.com
Human monitoring applications in indoor environments depend on accurate human
identification and activity recognition (HIAR). Single modality sensor systems have shown to …

Comprehensive mpoint: A method for 3d point cloud generation of human bodies utilizing fmcw mimo mm-wave radar

G Zhang, X Geng, YJ Lin - Sensors, 2021 - mdpi.com
In this paper, comprehensive mPoint, a method for generating 3D (range, azimuth, and
elevation) point cloud of human targets using a Frequency-Modulated Continuous Wave …

Human sensing by using radio frequency signals: A survey on occupancy and activity detection

R Shahbazian, I Trubitsyna - IEEE Access, 2023 - ieeexplore.ieee.org
Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …

A Deep Learning-Enhanced Multi-Modal Sensing Platform for Robust Human Object Detection and Tracking in Challenging Environments

P Cheng, Z Xiong, Y Bao, P Zhuang, Y Zhang, E Blasch… - Electronics, 2023 - mdpi.com
In modern security situations, tracking multiple human objects in real-time within challenging
urban environments is a critical capability for enhancing situational awareness, minimizing …

Extraction and denoising of human signature on radio frequency spectrums

S Yang, L Yuan, J Li - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
This paper proposes an innovative machine-learning-based method to extract compact,
accurate, and adequate human radio frequency signature in residential environment. Our …

Multimodal data fusion using canonical variates analysis confusion matrix fusion

E Blasch, A Vakil, J Li, R Ewing - 2021 IEEE Aerospace …, 2021 - ieeexplore.ieee.org
Data fusion from a variety of sources requires alignment, association, and analysis. One
method to determine the relationship between two variables measuring the same …

Human sensing via passive spectrum monitoring

H Mu, L Yuan, J Li - IEEE Open Journal of Instrumentation and …, 2023 - ieeexplore.ieee.org
Human sensing is significantly improving our lifestyle in many fields, such as elderly
healthcare and public safety. Research has demonstrated that human activity can alter the …