This study investigates automated road damage detection by combining the YOLOv11 algorithm with the Slicing Aided Hyper Inference (SAHI) approach on the multinational RDD2022 dataset, covering four damage categories: Longitudinal Crack (D00), Transverse Crack (D10), Alligator Crack (D20), and Pothole (D40). Ten YOLOv11 training experiments and eleven SAHI hyperparameter configurations were cond…