Lane detection using deep learning for rainy conditions

Prior research has shown that various road marker classification mechanisms in clear or dry weather conditions have high accuracy performance. However, the performance tends to be lower under rainy driving conditions due to the reduced quality of the road image when detecting the five classes of roa...

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Bibliographic Details
Main Authors: Ghani, Hadhrami Ab, Daud, Atiqullah Mohamed, Besar, Rosli, Sani, Zamani Md, Kamaruddin, Mohd Nazeri, Syahali, Syabeela
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27944/1/Lane%20detection%20using%20deep%20learning%20for%20rainy%20conditions.pdf
http://eprints.utem.edu.my/id/eprint/27944/
https://ieeexplore.ieee.org/document/10246071
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

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