Sensing and machine learning for automotive perception: A review

A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

Radar perception in autonomous driving: Exploring different data representations

S Yao, R Guan, Z Peng, C Xu, Y Shi, Y Yue… - arXiv preprint arXiv …, 2023 - arxiv.org
With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

Automatic contact-less monitoring of breathing rate and heart rate utilizing the fusion of mmWave radar and camera steering system

K Gupta, MB Srinivas, J Soumya… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The demand for noncontact breathing and heart rate measurement is increasing. In addition,
because of the high demand for medical services and the scarcity of on-site personnel, the …

IR-UWB radar-based robust heart rate detection using a deep learning technique intended for vehicular applications

F Khan, S Azou, R Youssef, P Morel, E Radoi - Electronics, 2022 - mdpi.com
This paper deals with robust heart rate detection intended for the in-car monitoring of
people. There are two main problems associated with radar-based heart rate detection …

Metabreath: Multitarget respiration detection based on space-time-coding digital metasurface

D Xia, L Guan, H Liu, Y Mu, X Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Breathing is an important health metric for tracking diseases, and non-contact respiration
detection under multitarget scenarios has attracted wide attention in recent years. However …

Emergency response person localization and vital sign estimation using a semi-autonomous robot mounted SFCW radar

CA Schroth, C Eckrich, I Kakouche… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The large number and scale of natural and man-made disasters have led to an urgent
demand for technologies that enhance the safety and efficiency of search and rescue teams …

Non-intrusive human vital sign detection using mmwave sensing technologies: A review

Y Wu, H Ni, C Mao, J Han, W Xu - ACM Transactions on Sensor …, 2023 - dl.acm.org
Non-invasive human vital sign detection has gained significant attention in recent years, with
its potential for contactless, long-term monitoring. Advances in radar systems have enabled …

Electromagnetic effective coupling and high spatial resolution theory in near-field cardiac sensing

C Li, S Zheng, X Hui, X Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Noncontact vital signs detecting in medical and healthcare applications have been widely
recognized. However, due to the limited penetration depth into the skin, the microwave …

Current methods for contactless optical patient diagnosis: a systematic review

B Alić, T Zauber, C Wiede, K Seidl - BioMedical Engineering OnLine, 2023 - Springer
Many countries around the world face a shortage of medical personnel, leading to work
overload or even burnout. This calls for political and scientific solutions to relieve the …

Image-based ship detection using deep variational information bottleneck

DD Ngo, VL Vo, T Nguyen, MH Nguyen, MH Le - Sensors, 2023 - mdpi.com
Image-based ship detection is a critical function in maritime security. However, lacking high-
quality training datasets makes it challenging to train a robust supervision deep learning …