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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Official URL: https://doi.org/10.1109/ICSPC50992.2020.9305788
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) |
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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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