CrackYOLO: Rural Pavement Distress Detection Model with Complex Scenarios

CrackYOLO: Rural Pavement Distress Detection Model with Complex Scenarios

The maintenance level of rural roads is relatively low, and the automated detection of pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and distress object scale disparities; this makes it difficult to accurately evaluate the distress conditions of the pavement. To...

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Bibliographic Details
Main Authors: Yuxuan Li, Shangyu Sun, Weidong Song, Jinhe Zhang, Qiaoshuang Teng
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
crack detection
deep learning
rural roads
multi-scale features
hybrid attention mechanism
Online Access:https://www.mdpi.com/2079-9292/13/2/312

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