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Klasifikace vozidel na základě odezvy indukčních senzorů / Vehicle classification using inductive loops sensors

This project is dedicated to the problem of vehicle classification using inductive loop sensors. We created the dataset that contains more than 11000 labeled inductive loop signatures collected at different times and from different parts of the world. Multiple classification methods and their optimizations were employed to the vehicle classification. Final model that combines K-nearest neighbors and logistic regression achieves 94\% accuracy on classification scheme with 9 classes. The vehicle classifier was implemented in C++.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:316383
Date January 2017
CreatorsHalachkin, Aliaksei
ContributorsKlečka, Jan, Honec, Peter
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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