Abstract: Road crack detection is a key computer vision task that identifies and locates cracks in road surface images, which usually have an irregular shape and contain only a few pixels in width.

Abstract: Road defect detection is vital for road maintenance but remains challenging due to the complexity of backgrounds, low resolution, and crack similarity. This paper introduces YOLOv8-VOS(VOS ...

Abstract: Automated detection of pavement cracks plays a crucial role in road maintenance and traffic safety. However, pavement crack detection under noisy conditions is challenging due to the complex ...

Abstract: Accurate crack segmentation in concrete transportation infrastructures is critical for ensuring structural integrity and facilitating timely maintenance interventions. This paper presents ...

Abstract: In this paper, we focus on the problem of bridge crack detection. In view of the characteristics of bridge cracks, such as the existence of multiple scales and shapes, and the interference ...

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Abstract: In the emerging field of urban digital twins, the development of intelligent road inspection robots and automated crack detection systems plays a crucial role in infrastructure maintenance.

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: Railways provide the economical and most convenient mode of passenger transport for both long-distance and suburban travel. Additionally, a large portion of transportation in India relies on ...

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