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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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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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 |