Enhancing road safety: A convolutional neural network based approach for road damage detection

Road damage poses considerable challenges for both conventional and autonomous vehicles, with obstacles such as potholes, speed bumps, cracks, and manholes increasing the risk of vehicle damage and accidents. For autonomous systems, the ability to detect these hazards in real time is essential to en...

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Bibliographic Details
Main Authors: Soukaina Bouhsissin, Hamza Assemlali, Nawal Sael
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000519
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