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Automated Assessment of Concrete Cracks in Bridges by Exploiting UAV-Based Lidar and Camera Data

A collection of algorithms processing RGB image with Lidar data for detection and quantification of concrete cracks with high accuracy Institute Reference: INV-22013 Background Crack detection and characterization of concrete bridges is extremely important to define maintenance strategies and to optimize interventions. Existing crack assessment...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Jerome Hajjar, Yujie Yan

Keywords(s): Crack detection, Crack quantification, Lidar data, RGB images, Unmanned aerial vehicle

Category(s): -Sensors, Technology Classifications > 3. Computer Science > Deep Learning, Technology Classifications > 3. Computer Science > High Performance Computing, Technology Classifications > 3. Computer Science > AI, Technology Classifications > 3. Computer Science > Computing Methods