Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor

Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor

This paper aims to improve the accuracy of automatic vehicle classifiers for imbalanced datasets. Classification is made through utilizing a single anisotropic magnetoresistive sensor, with the models of vehicles involved being classified into hatchbacks, sedans, buses, and multi-purpose vehicles (M...

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Bibliographic Details
Main Authors:	Chang Xu, Yingguan Wang, Xinghe Bao, Fengrong Li
Format:	Article
Language:	English
Published:	MDPI AG 2018-05-01
Series:	Sensors
Subjects:	intelligent transport system vehicle classification imbalanced dataset anisotropic magnetoresistive sensor
Online Access:	http://www.mdpi.com/1424-8220/18/6/1690

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