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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827025000519 |
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