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Ju Huyan

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Articles by Ju Huyan

Encoder-decoder with pyramid region attention for pixel‐level pavement crack recognition

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By Hui Yao, Yanhao Liu, Haotian Lv, Ju Huyan
| Wiley Online Library Verified
1 INTRODUCTION Asphalt pavements inevitably deteriorate during service due to a variety of internal and external factors, such as repeated traffic loading and severe weather conditions. Cracks can significantly affect road smoothness and driving comfort. If not repaired in time, the road structure may be infiltrated by water through the initial cracks, causing a serious reduction in the service life of the road and resulting in a significant increase in road maintenance costs.
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Evidential transformer for pavement distress segmentation

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By Zheng Tong, Tao Ma, Weiguang Zhang, Ju Huyan
| Wiley Online Library Verified
Abstract Distress segmentation assigns each pixel of a pavement image to one distress class or background, which provides a simplified representation for distress detection and measurement. Even though remarkably benefiting from deep learning, distress segmentation still faces the problems of poor calibration and multimodel fusion. This study has proposed a deep neural network by combining the Dempster–Shafer theory (DST) and a transformer network for pavement distress segmentation.
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