Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor
Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
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 (MPVs). Using time domain and frequency domain featu...
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Full title
Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor
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TN_cdi_doaj_primary_oai_doaj_org_article_92c7f66511dd4bf7aa3947d3b12f9072
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_92c7f66511dd4bf7aa3947d3b12f9072
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s18061690
