Automated toll collection system based on vehicle type classification using sparse-filtered convolutional neural networks with layer-skipping strategy (SF-CNNLS)

Automated toll collection system based on vehicle type classification using sparse-filtered convolutional neural networks with layer-skipping strategy (SF-CNNLS)

Automated Toll Collection System (ATCS) is one of the technologies to fulfill the Intelligent Transportation System’s (ITS) aim in providing an efficient road and transportation infrastructure at the expressway. This paper is aimed to provide an accurate and efficient ATCS based on a vehicle type cl...

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Bibliographic Details
Main Authors: Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Physics Publishing 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/21980/
http://umpir.ump.edu.my/id/eprint/21980/1/29.%20Automated%20toll%20collection%20system%20based%20on%20vehicle%20type%20classification.pdf
http://umpir.ump.edu.my/id/eprint/21980/2/29.1%20Automated%20toll%20collection%20system%20based%20on%20vehicle%20type%20classification.pdf

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