Eslam Samir

Toward Automatic Pavement-Condition Index Estimation: An Enhanced Multi-Sensor Deep Learning Framework for Comprehensive Pavement Distress Detection and Severity Assessment

Timely and accurate pavement distress detection is essential for sustainable road maintenance. Traditional manual methods are costly, time-consuming, and prone to subjectivity. This study proposes a multi-sensor framework that integrates (Red-Green-Blue (RGB) imagery with low-cost depth sensing for automated detection,...