Riccardo Gherardi

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About

Riccardo Gherardi is a leading researcher in computer vision and robotic inspection, whose work focuses on developing automated systems for long-term structural monitoring. His most influential contribution is a pioneering framework for detecting surface changes across multiple viewpoints over extended periods, introduced in his 2015 paper that has garnered 54 citations. This system integrates structure-from-motion pipelines to build panoramic reconstructions of tunnel surfaces from robotic inspection rigs, then registers images captured at different time instances to reliably identify subtle changes—such as hairline cracks or water damage—that could indicate structural degradation. Gherardi's approach addresses the critical challenge of aligning and comparing visual data under varying lighting and perspective conditions, enabling practical, non-destructive inspection of infrastructure like tunnels and bridges. His work has significant implications for preventive maintenance and safety in civil engineering, reducing the need for manual, time-consuming surveys. By combining robust 3D reconstruction with change detection algorithms, Gherardi has advanced the state of the art in automated visual inspection, making his research essential reading for engineers and computer scientists working on infrastructure monitoring and robotic vision systems.