Abstract

Abstract: Road damage detection is a crucial task for maintaining infrastructure and maximising road safety. Recent developments in artificial intelligence (AI) have opened up new opportunities for automating the road damage detection process. In this paper, we present a thorough review of recent research on artificial intelligence-based techniques and methods for road damage detection. We discuss the different types of road damages, AI models used for detection, datasets, evaluation metrics, and challenges associated with this field. We also provide an overview of potential future research directions.

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