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Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System

In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 GHz, radar sensor data for a pedestrian, a cyc...

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Detalles Bibliográficos
Autores principales: Kim, Jin-Cheol, Jeong, Hwi-Gu, Lee, Seongwook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347379/
https://www.ncbi.nlm.nih.gov/pubmed/34372465
http://dx.doi.org/10.3390/s21155228
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author Kim, Jin-Cheol
Jeong, Hwi-Gu
Lee, Seongwook
author_facet Kim, Jin-Cheol
Jeong, Hwi-Gu
Lee, Seongwook
author_sort Kim, Jin-Cheol
collection PubMed
description In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 GHz, radar sensor data for a pedestrian, a cyclist, and a car are obtained in the test field. Then, a You Only Look Once (YOLO)-based network is trained with the sensor data to perform simultaneous target classification and moving direction estimation. To generate input data suitable for the deep learning-based classifier, a method of converting the radar detection result into an image form is also proposed. With the proposed method, we can identify the type of each target and its direction of movement with an accuracy of over 95%. Moreover, the pre-trained classifier shows an identification accuracy of 85% even for newly acquired data that have not been used for training.
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spelling pubmed-83473792021-08-08 Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System Kim, Jin-Cheol Jeong, Hwi-Gu Lee, Seongwook Sensors (Basel) Article In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 GHz, radar sensor data for a pedestrian, a cyclist, and a car are obtained in the test field. Then, a You Only Look Once (YOLO)-based network is trained with the sensor data to perform simultaneous target classification and moving direction estimation. To generate input data suitable for the deep learning-based classifier, a method of converting the radar detection result into an image form is also proposed. With the proposed method, we can identify the type of each target and its direction of movement with an accuracy of over 95%. Moreover, the pre-trained classifier shows an identification accuracy of 85% even for newly acquired data that have not been used for training. MDPI 2021-08-02 /pmc/articles/PMC8347379/ /pubmed/34372465 http://dx.doi.org/10.3390/s21155228 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Jin-Cheol
Jeong, Hwi-Gu
Lee, Seongwook
Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title_full Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title_fullStr Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title_full_unstemmed Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title_short Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System
title_sort simultaneous target classification and moving direction estimation in millimeter-wave radar system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347379/
https://www.ncbi.nlm.nih.gov/pubmed/34372465
http://dx.doi.org/10.3390/s21155228
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