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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Physics Publishing
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21980/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/21980/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