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Wet road detection using CNN with transfer learning

here is an increasing need to detect wet road surfaces automatically considering many accidents and traffic problems that occur in wet weather. Road condition detection based on acoustic signals has gained more attention in recent years due to its low implementation cost. However, current deep learn...

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Bibliographic Details
Main Authors: Mohd Shariff, Khairul Khaizi, MD Ali, Mohd Adli, Enche Ab Rahim, Siti Amlina, Khan Ismail, Zuhani
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:http://irep.iium.edu.my/98861/7/98861_%20Wet%20road%20detection%20using%20CNN%20with%20transfer%20learning.pdf
http://irep.iium.edu.my/98861/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9794528
https://doi.org/10.1109/ISCAIE54458.2022.9794528
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Internet

http://irep.iium.edu.my/98861/7/98861_%20Wet%20road%20detection%20using%20CNN%20with%20transfer%20learning.pdf
http://irep.iium.edu.my/98861/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9794528
https://doi.org/10.1109/ISCAIE54458.2022.9794528

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