Abstract: Precise crack identification on intricate asphalt pavements poses a significant challenge for intelligent pavement distress detection. This paper proposes the CellNet, a deep learning model designed to offer an effective ...

Abstract: Accurately identifying sealed cracks on asphalt pavement surfaces is of significant importance to pavement management. This paper proposes an efficient semantic segmentation model called Parallel-TDNet for pixel-level ...