Universiti malaysia pahang autonomous shuttle Development : Lane classiﬁcation analysis using convolutional neural network (CNN)

Universiti malaysia pahang autonomous shuttle Development : Lane classiﬁcation analysis using convolutional neural network (CNN)

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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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Xehetasun bibliografikoak
Egile Nagusiak:	Yee, Lee Yin, Muhammad Aizzat, Zakaria
Formatua:	Conference or Workshop Item
Hizkuntza:	English English
Argitaratua:	Springer Science and Business Media Deutschland GmbH 2022
Gaiak:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Sarrera elektronikoa:	http://umpir.ump.edu.my/id/eprint/39446/1/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification.pdf http://umpir.ump.edu.my/id/eprint/39446/2/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification_ABS.pdf

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