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Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems

Millimeter-wave (MMW) radar is essential in roadside traffic perception scenarios and traffic safety control. For traffic risk assessment and early warning systems, MMW radar provides real-time position and velocity measurements as a crucial source of dynamic risk information. However, due to MMW ra...

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Detalles Bibliográficos
Autores principales: Zhao, Cong, Ding, Delong, Du, Zhouyang, Shi, Yupeng, Su, Guimin, Yu, Shanchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820397/
https://www.ncbi.nlm.nih.gov/pubmed/36613210
http://dx.doi.org/10.3390/ijerph20010879
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author Zhao, Cong
Ding, Delong
Du, Zhouyang
Shi, Yupeng
Su, Guimin
Yu, Shanchuan
author_facet Zhao, Cong
Ding, Delong
Du, Zhouyang
Shi, Yupeng
Su, Guimin
Yu, Shanchuan
author_sort Zhao, Cong
collection PubMed
description Millimeter-wave (MMW) radar is essential in roadside traffic perception scenarios and traffic safety control. For traffic risk assessment and early warning systems, MMW radar provides real-time position and velocity measurements as a crucial source of dynamic risk information. However, due to MMW radar’s measuring principle and hardware limitations, vehicle positioning errors are unavoidable, potentially causing misperception of the vehicle motion and interaction behavior. This paper analyzes the factors influencing the MMW radar positioning accuracy that are of major concern in the application of transportation systems. An analysis of the radar measuring principle and the distributions of the radar point cloud on the vehicle body under different scenarios are provided to determine the causes of the positioning error. Qualitative analyses of the radar positioning accuracy regarding radar installation height, radar sampling frequency, vehicle location, posture, and size are performed. The analyses are verified through simulated experiments. Based on the results, a general guideline for radar data processing in traffic risk assessment and early warning systems is proposed.
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spelling pubmed-98203972023-01-07 Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems Zhao, Cong Ding, Delong Du, Zhouyang Shi, Yupeng Su, Guimin Yu, Shanchuan Int J Environ Res Public Health Article Millimeter-wave (MMW) radar is essential in roadside traffic perception scenarios and traffic safety control. For traffic risk assessment and early warning systems, MMW radar provides real-time position and velocity measurements as a crucial source of dynamic risk information. However, due to MMW radar’s measuring principle and hardware limitations, vehicle positioning errors are unavoidable, potentially causing misperception of the vehicle motion and interaction behavior. This paper analyzes the factors influencing the MMW radar positioning accuracy that are of major concern in the application of transportation systems. An analysis of the radar measuring principle and the distributions of the radar point cloud on the vehicle body under different scenarios are provided to determine the causes of the positioning error. Qualitative analyses of the radar positioning accuracy regarding radar installation height, radar sampling frequency, vehicle location, posture, and size are performed. The analyses are verified through simulated experiments. Based on the results, a general guideline for radar data processing in traffic risk assessment and early warning systems is proposed. MDPI 2023-01-03 /pmc/articles/PMC9820397/ /pubmed/36613210 http://dx.doi.org/10.3390/ijerph20010879 Text en © 2023 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
Zhao, Cong
Ding, Delong
Du, Zhouyang
Shi, Yupeng
Su, Guimin
Yu, Shanchuan
Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title_full Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title_fullStr Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title_full_unstemmed Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title_short Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems
title_sort analysis of perception accuracy of roadside millimeter-wave radar for traffic risk assessment and early warning systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820397/
https://www.ncbi.nlm.nih.gov/pubmed/36613210
http://dx.doi.org/10.3390/ijerph20010879
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