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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主要な著者: | , , , , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2023
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オンライン・アクセス: | 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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