Center for Transformative Infrastructure Preservation and Sustainability

Webinar Details

Title:
An End-to-End Deep Learning System for Pavement Distress Detection, Severity Estimation, and Condition Reporting
Date:
Links:
Project #:
CTIPS-051

Description

Accurate pavement assessments are critical for effective maintenance and asset management. However, traditional methods can be time-consuming and labor-intensive. This research explores an innovative approach using AI, deep learning, and advanced imaging to automate distress detection, severity estimation, and pavement condition evaluation. The goal is to improve efficiency and deliver clear reports to support informed maintenance and investment decisions.