Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)

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Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)

In recent years, the widespread adoption of autonomous vehicle, advanced driver assistant systems (ADAS) have acquired great interests as it provides safe and better driving by automating, adapting, and enhancing the driving experience. Road accidents can be avoided with the identification of variou...

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Bibliographic Details
Main Authors:	Yee, Lee Yin, Muhammad Aizzat, Zakaria
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/42281/ http://umpir.ump.edu.my/id/eprint/42281/1/Universiti%20Malaysia%20Pahang%20autonomous%20shuttle%20development.pdf http://umpir.ump.edu.my/id/eprint/42281/2/Universiti%20Malaysia%20Pahang%20autonomous%20shuttle%20development_Lane%20classification%20analysis%20using%20Convolutional%20Neural%20Network%20%28CNN%29_ABS.pdf

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