Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar

Abstract 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 signs, traffic lights, overpasses, and pedestrian bridges, and forward vehicle (FV). This misclassificatio...

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Main Authors: Hyunsoo Yoon, Junsu Oh, Hyun‐Chool Shin
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Electronics Letters
Subjects:
Online Access:https://doi.org/10.1049/ell2.13149
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author Hyunsoo Yoon
Junsu Oh
Hyun‐Chool Shin
author_facet Hyunsoo Yoon
Junsu Oh
Hyun‐Chool Shin
author_sort Hyunsoo Yoon
collection DOAJ
description Abstract 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 signs, traffic lights, overpasses, and pedestrian bridges, and forward vehicle (FV). This misclassification can lead to false alarms and unwanted braking events. In this paper, the authors propose a method distinguishing between US and FV at different distances based on change in radar cross section (RCS). The study collects real‐world RCS data from various objects identified as US and FV during road driving scenarios.
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spelling doaj.art-0547ee0516c6409abcfd3e04764fc50d2024-04-13T04:30:29ZengWileyElectronics Letters0013-51941350-911X2024-04-01607n/an/a10.1049/ell2.13149Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radarHyunsoo Yoon0Junsu Oh1Hyun‐Chool Shin2Department of Intelligent Semiconductor Soongsil University Seoul Republic of KoreaDepartment of Electronic Engineering Soongsil University Seoul Republic of KoreaDepartment of Intelligent Semiconductor Soongsil University Seoul Republic of KoreaAbstract 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 signs, traffic lights, overpasses, and pedestrian bridges, and forward vehicle (FV). This misclassification can lead to false alarms and unwanted braking events. In this paper, the authors propose a method distinguishing between US and FV at different distances based on change in radar cross section (RCS). The study collects real‐world RCS data from various objects identified as US and FV during road driving scenarios.https://doi.org/10.1049/ell2.13149radar applicationsradar signal processing
spellingShingle Hyunsoo Yoon
Junsu Oh
Hyun‐Chool Shin
Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
Electronics Letters
radar applications
radar signal processing
title Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
title_full Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
title_fullStr Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
title_full_unstemmed Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
title_short Discrimination of various upper structures and vehicles using radar cross section of frequency‐modulated continuous‐wave radar
title_sort discrimination of various upper structures and vehicles using radar cross section of frequency modulated continuous wave radar
topic radar applications
radar signal processing
url https://doi.org/10.1049/ell2.13149
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AT junsuoh discriminationofvariousupperstructuresandvehiclesusingradarcrosssectionoffrequencymodulatedcontinuouswaveradar
AT hyunchoolshin discriminationofvariousupperstructuresandvehiclesusingradarcrosssectionoffrequencymodulatedcontinuouswaveradar