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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Bibliografiska uppgifter
Huvudupphovsmän: Chang Xu, Yingguan Wang, Xinghe Bao, Fengrong Li
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2018-05-01
Serie:Sensors
Ämnen:
intelligent transport system
vehicle classification
imbalanced dataset
anisotropic magnetoresistive sensor
Länkar:http://www.mdpi.com/1424-8220/18/6/1690
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