CrackYOLO: Rural pavement distress detection model with complex scenarios

Y Li, S Sun, W Song, J Zhang, Q Teng - Electronics, 2024 - mdpi.com
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 …

A semantic segmentation model for road cracks combining channel-space convolution and frequency feature aggregation

M Zhang, J Xu - Scientific reports, 2024 - nature.com
In transportation, roads sometimes have cracks due to overloading and other reasons, which
seriously affect driving safety, and it is crucial to identify and fill road cracks in time. Aiming at …

[HTML][HTML] A Lightweight and High-Accuracy Model for Pavement Crack Segmentation

Y Yu, W Xia, Z Zhao, B He - Applied Sciences, 2024 - mdpi.com
Pavement cracks significantly affect road safety and longevity, making accurate crack
segmentation essential for effective maintenance. Although deep learning methods have …

[HTML][HTML] A Novel Multi-Scale Feature Enhancement U-Shaped Network for Pixel-Level Road Crack Segmentation

J Wang, B Shen, G Li, J Gao, C Chen - Electronics, 2024 - mdpi.com
Timely and accurate detection of pavement cracks, the most common type of road damage,
is essential for ensuring road safety. Automatic image segmentation of cracks can accurately …

The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++

Y Sen, W Zhenmin, S Wenlong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Dangerous road surface covering objects such as wet slippery, ice and snow will directly
affect the safety performance. Therefore, the detection and visualization of road surface …

A New Improved YOLO Based Network for PCB Surface Defect Detection

Y Fei, B Xie, J Zhang, Y Jin, Z Pan… - 2024 6th International …, 2024 - ieeexplore.ieee.org
PCB (Printed Circuit Boards) surface defect detection plays a vital role in upgrading product
quality. However, the defect detection of small targets still faces great challenges …