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What is Pothole Detection with Deep Learning Models about?

This paper evaluates the performance of deep learning models for detecting potholes under low-light conditions, emphasizing the use of advanced algorithms like YOLO and Grad-CAM++. The proposed YOLOv11+FPN+Grad-CAM model achieved a mean average precision (mAP) score of 0.72, outperforming other models and demonstrating significant improvements in detection accuracy. The study highlights the potential for real-time applications to enhance road safety and outlines future plans for adapting the model to variou

Author

root.gpesito

Language

EN