A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network

A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network

The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and in...

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Main Authors: Hyeong-Jun Kim, Jun-Young Han, Suk Lee, Jae-Ryon Kwag, Min-Gu Kuk, In-Hyuk Han, Man-Ho Kim
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Electronics
Subjects:
intelligent tire (itire)
tire acceleration sensor
road condition classification
tire pressure monitoring system (tpms)
artificial neural network
Online Access:https://www.mdpi.com/2079-9292/9/3/404
id doaj-58850ea655874b8e8fed2f5e4985672d
record_format Article
spelling doaj-58850ea655874b8e8fed2f5e4985672d2020-11-25T03:02:16ZengMDPI AGElectronics2079-92922020-02-019340410.3390/electronics9030404electronics9030404A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural NetworkHyeong-Jun Kim0Jun-Young Han1Suk Lee2Jae-Ryon Kwag3Min-Gu Kuk4In-Hyuk Han5Man-Ho Kim6School of Mechanical Engineering, Pusan National University, Pusan 46241, KoreaSchool of Mechanical Engineering, Pusan National University, Pusan 46241, KoreaSchool of Mechanical Engineering, Pusan National University, Pusan 46241, KoreaPerformance Research Team, NEXEN Tire, Yangsan‐si 50592, KoreaPerformance Research Team, NEXEN Tire, Yangsan‐si 50592, KoreaPerformance Research Team, NEXEN Tire, Yangsan‐si 50592, KoreaDivision of Automotive Engineering, Dong-eui Institute of Technology, Pusan 47230, KoreaThe automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver of the road conditions. iTire can promote safe driving. Various kinds of research on iTire is ongoing, and this paper proposes an algorithm to determine the road surface conditions while driving. Specifically, we have proposed a method for extracting the feature points of a frequency band, by converting acceleration data collected by sensors through fast Fourier transform (FFT) and determining road surface conditions via an artificial neural network. Lastly, the applicability of the algorithm was verified.https://www.mdpi.com/2079-9292/9/3/404intelligent tire (itire)tire acceleration sensorroad condition classificationtire pressure monitoring system (tpms)artificial neural network
collection DOAJ
language English
format Article
sources DOAJ
author Hyeong-Jun Kim
Jun-Young Han
Suk Lee
Jae-Ryon Kwag
Min-Gu Kuk
In-Hyuk Han
Man-Ho Kim
spellingShingle Hyeong-Jun Kim
Jun-Young Han
Suk Lee
Jae-Ryon Kwag
Min-Gu Kuk
In-Hyuk Han
Man-Ho Kim
A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
Electronics
intelligent tire (itire)
tire acceleration sensor
road condition classification
tire pressure monitoring system (tpms)
artificial neural network
author_facet Hyeong-Jun Kim
Jun-Young Han
Suk Lee
Jae-Ryon Kwag
Min-Gu Kuk
In-Hyuk Han
Man-Ho Kim
author_sort Hyeong-Jun Kim
title A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
title_short A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
title_full A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
title_fullStr A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
title_full_unstemmed A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network
title_sort road condition classification algorithm for a tire acceleration sensor using an artificial neural network
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2020-02-01
description The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver of the road conditions. iTire can promote safe driving. Various kinds of research on iTire is ongoing, and this paper proposes an algorithm to determine the road surface conditions while driving. Specifically, we have proposed a method for extracting the feature points of a frequency band, by converting acceleration data collected by sensors through fast Fourier transform (FFT) and determining road surface conditions via an artificial neural network. Lastly, the applicability of the algorithm was verified.
topic intelligent tire (itire)
tire acceleration sensor
road condition classification
tire pressure monitoring system (tpms)
artificial neural network
url https://www.mdpi.com/2079-9292/9/3/404
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