Original title: Vehicle Classification Using Inductive Loops Sensors
Authors: Halachkin, Aliaksei
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This project is dedicated to the problem of vehicle classification using inductive loop sensors. Developed classifier is based on nearest neighbors and logistic regression models and achieves 94 % accuracy on classification scheme with 9 vehicle classes.
Keywords: inductive loops; logistic regression; nearest neighbors; vehicle classification
Host item entry: Proceedings of the 23st Conference STUDENT EEICT 2017, ISBN 978-80-214-5496-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/187114

Permalink: http://www.nusl.cz/ntk/nusl-414774


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers