Detecting and measuring cracks on a bridge deck is crucial for preventing further damage
and ensuring safety. However, manual methods are slow and subjective, highlighting the …

Deep learning plays an important role in crack segmentation, but most work utilize off-the-
shelf or improved models that have not been specifically developed for this task. High …

Pavement cracks can result in the degradation of pavement performance. Due to the lack of
timely inspection and reparation for the pavement cracks, with the development of cracks …

With the rapid growth in urban construction in Malaysia, road breakage has challenged
traditional manual inspection methods. In order to quickly and accurately detect the extent of …

This study addresses the challenge of enhancing pavement condition assessment
methodologies by proposing a universal XGBoost-SHAP framework. Leveraging diverse …

Effective road pavement management is vital for maintaining the functionality and safety of
transportation infrastructure. This review examines the integration of Machine Learning (ML) …

It is important to maintain the safety of road driving by automatically performing a series of
processes to automatically measure and repair damage to the road pavement. However …

Effective crack detection is critical for pavement maintenance, yet existing methods face
significant challenges. Deep learning has become a popular solution due to its superior …

Pavement disease is a key factor affecting road safety, and regular inspection and
maintenance play an important role in maintaining the performance of asphalt pavement …

In the realm of crack inspection for complex infrastructures, traditional methods have
primarily relied on expensive structural health monitoring instruments and labor-intensive …