Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784865455598469120 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9820397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhaocong analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems AT dingdelong analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems AT duzhouyang analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems AT shiyupeng analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems AT suguimin analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems AT yushanchuan analysisofperceptionaccuracyofroadsidemillimeterwaveradarfortrafficriskassessmentandearlywarningsystems |