Citation

Jefri Muril, Muhammad and Abdul Aziz, Nor Hidayati and Ab. Ghani, Hadhrami and Ab Aziz, Nor Azlina (2020) A Review on Deep Learning and Nondeep Learning Approach for Lane Detection System. In: 2020 8th IEEE Conference on Systems, Process and Control (ICSPC2020), 11-12 December 2020, Melaka, Malaysia.

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Abstract

Lane detection is one of the essential elements in road safety analysis. With the enhancement of technologies nowadays, the number of road accidents can be reduced by implementing a few preventive actions, one of it is by using a lane detection system. The authors review the recent deep learning and non-deep learning approach for lane detection system.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Image processing, Deep Learning, Lane detection, Convolutional neural network, recurrent neural network,
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	10 Sep 2021 13:50
Last Modified:	10 Sep 2021 13:50
URII:	http://shdl.mmu.edu.my/id/eprint/8509

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