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This paper presents a novel approach to enhance pothole detection in autonomous vehicles by utilizing perspective transformation, which improves the visibility of distant potholes. The method significantly boosts detection performance, achieving a 43% improvement in average precision when integrated with YOLOv5-small, particularly for distant potholes. This work is the first to apply perspective transformation specifically for this purpose, addressing challenges in detecting small and far objects in real-ti

Author

João Gabriel

Language

EN