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A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism

A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle...

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Detalles Bibliográficos
Autores principales: Lou, Liangliang, Zhang, Jinyi, Xiong, Yong, Jin, Yanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338938/
https://www.ncbi.nlm.nih.gov/pubmed/30586879
http://dx.doi.org/10.3390/s19010058
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author Lou, Liangliang
Zhang, Jinyi
Xiong, Yong
Jin, Yanliang
author_facet Lou, Liangliang
Zhang, Jinyi
Xiong, Yong
Jin, Yanliang
author_sort Lou, Liangliang
collection PubMed
description A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles.
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spelling pubmed-63389382019-01-23 A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism Lou, Liangliang Zhang, Jinyi Xiong, Yong Jin, Yanliang Sensors (Basel) Article A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles. MDPI 2018-12-24 /pmc/articles/PMC6338938/ /pubmed/30586879 http://dx.doi.org/10.3390/s19010058 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lou, Liangliang
Zhang, Jinyi
Xiong, Yong
Jin, Yanliang
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title_full A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title_fullStr A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title_full_unstemmed A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title_short A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
title_sort novel vehicle detection method based on the fusion of radio received signal strength and geomagnetism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338938/
https://www.ncbi.nlm.nih.gov/pubmed/30586879
http://dx.doi.org/10.3390/s19010058
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