This paper proposes a method to simultaneously detect and classify objects by using a deep
learning model, specifically you only look once (YOLO), with pre-processed automotive …

In this study, a human–vehicle classification using a feature‐based support vector machine
(SVM) in a 77‐GHz automotive frequency modulated continuous wave (FMCW) radar …

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 …

In this paper, we propose a method for classifying human faces using a small-sized
millimeter wave radar sensor. The radar sensor transmits a frequency-modulated continuous …

In this paper, we propose a method to classify the human and vehicle objects by combining
a support vector machine (SVM) and the deep learning model, you only look once (YOLO) …

Radar Target classification has gained huge interest in many fields over the years in
applications like road surveillance, smart gates, and autonomous driving. This is …

In this paper, radar cross section (RCS) measurement for human subjects and vehicles in 77
GHz automotive frequency modulated continuous wave (FMCW) radar system is presented …

Nowadays, cities can be perceived as increasingly dangerous places. Usually, CCTV is one
of the main technologies used in a modern security system. However, poor light situations or …

Millimeter wave radars are used in advanced driver assistance systems for detection of
targets and estimation of target parameters such as range, velocity and angle of arrival …

Although radar sensors have been known for their robustness in challenging environmental
conditions, they face difficulties in distinguishing between upper structure (US), such as road …