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Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors

Methods for estimating a car’s length are presented in this paper, as well as the results achieved by using a self-designed system equipped with two anisotropic magneto-resistive (AMR) sensors, which were placed on a road lane. The purpose of the research was to compare the lengths of mid-size cars,...

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Autores principales: Markevicius, Vytautas, Navikas, Dangirutis, Idzkowski, Adam, Valinevicius, Algimantas, Zilys, Mindaugas, Andriukaitis, Darius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579561/
https://www.ncbi.nlm.nih.gov/pubmed/28771171
http://dx.doi.org/10.3390/s17081778
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author Markevicius, Vytautas
Navikas, Dangirutis
Idzkowski, Adam
Valinevicius, Algimantas
Zilys, Mindaugas
Andriukaitis, Darius
author_facet Markevicius, Vytautas
Navikas, Dangirutis
Idzkowski, Adam
Valinevicius, Algimantas
Zilys, Mindaugas
Andriukaitis, Darius
author_sort Markevicius, Vytautas
collection PubMed
description Methods for estimating a car’s length are presented in this paper, as well as the results achieved by using a self-designed system equipped with two anisotropic magneto-resistive (AMR) sensors, which were placed on a road lane. The purpose of the research was to compare the lengths of mid-size cars, i.e., family cars (hatchbacks), saloons (sedans), station wagons and SUVs. Four methods were used in the research: a simple threshold based method, a threshold method based on moving average and standard deviation, a two-extreme-peak detection method and a method based on the amplitude and time normalization using linear extrapolation (or interpolation). The results were achieved by analyzing changes in the magnitude and in the absolute z-component of the magnetic field as well. The tests, which were performed in four different Earth directions, show differences in the values of estimated lengths. The magnitude-based results in the case when cars drove from the South to the North direction were even up to 1.2 m higher than the other results achieved using the threshold methods. Smaller differences in lengths were observed when the distances were measured between two extreme peaks in the car magnetic signatures. The results were summarized in tables and the errors of estimated lengths were presented. The maximal errors, related to real lengths, were up to 22%.
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spelling pubmed-55795612017-09-06 Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors Markevicius, Vytautas Navikas, Dangirutis Idzkowski, Adam Valinevicius, Algimantas Zilys, Mindaugas Andriukaitis, Darius Sensors (Basel) Article Methods for estimating a car’s length are presented in this paper, as well as the results achieved by using a self-designed system equipped with two anisotropic magneto-resistive (AMR) sensors, which were placed on a road lane. The purpose of the research was to compare the lengths of mid-size cars, i.e., family cars (hatchbacks), saloons (sedans), station wagons and SUVs. Four methods were used in the research: a simple threshold based method, a threshold method based on moving average and standard deviation, a two-extreme-peak detection method and a method based on the amplitude and time normalization using linear extrapolation (or interpolation). The results were achieved by analyzing changes in the magnitude and in the absolute z-component of the magnetic field as well. The tests, which were performed in four different Earth directions, show differences in the values of estimated lengths. The magnitude-based results in the case when cars drove from the South to the North direction were even up to 1.2 m higher than the other results achieved using the threshold methods. Smaller differences in lengths were observed when the distances were measured between two extreme peaks in the car magnetic signatures. The results were summarized in tables and the errors of estimated lengths were presented. The maximal errors, related to real lengths, were up to 22%. MDPI 2017-08-03 /pmc/articles/PMC5579561/ /pubmed/28771171 http://dx.doi.org/10.3390/s17081778 Text en © 2017 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
Markevicius, Vytautas
Navikas, Dangirutis
Idzkowski, Adam
Valinevicius, Algimantas
Zilys, Mindaugas
Andriukaitis, Darius
Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title_full Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title_fullStr Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title_full_unstemmed Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title_short Vehicle Speed and Length Estimation Using Data from Two Anisotropic Magneto-Resistive (AMR) Sensors
title_sort vehicle speed and length estimation using data from two anisotropic magneto-resistive (amr) sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579561/
https://www.ncbi.nlm.nih.gov/pubmed/28771171
http://dx.doi.org/10.3390/s17081778
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