A Review on Deep Learning and Nondeep Learning Approach for Lane Detection System

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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