Timely and effective detection of surface defects on bridges is crucial for ensuring public transportation safety and extending the lifespan of bridges. Traditional bridge defect detection primarily relies on manual inspections, which are highly subjective, inefficient, and exhibit a significant rate of undetected issues. Moreover, there is a lack of effective detection methods for bridges located in special areas, such as large-span canyon bridges. To address these challenges, this study focuses on the Chishi Bridge in Chenzhou, Hunan Province, China, which is the largest multi-tower concrete...
