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