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...
Main Authors: | Chang Xu, Yingguan Wang, Xinghe Bao, Fengrong Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/6/1690 |
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