Traffic sign classification using transfer learning: An investigation of feature-combining model

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Traffic sign classification using transfer learning: An investigation of feature-combining model

The traffic sign classification system is a technology to help drivers to recognise the traffic sign hence reducing the accident. Many types of learning models have been applied to this technology recently. However, the deployment of learning models is unknown and shown to be non-trivial towards ima...

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Bibliographic Details
Main Authors:	Lim, Wee Sheng, Ahmad Fakhri, Ab. Nasir, Mohd Azraai, Mohd Razman, Anwar P. P., Abdul Majeed, Nur Shazwani, Kamarudin, Muhammad Zulfahmi Toh, Abdullah
Format:	Article
Language:	English
Published:	Penerbit UMP 2021
Subjects:	QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/33979/ http://umpir.ump.edu.my/id/eprint/33979/1/Traffic%20sign%20classification%20using%20transfer%20learning.pdf

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