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About

Christos Stentoumis is a leading researcher at the intersection of robotics, computer vision, and civil infrastructure inspection. His primary contributions lie in developing autonomous robotic systems for structural assessment, with a particular focus on tunnel inspection and evaluation. Stentoumis's most impactful work, "Autonomous robotic system for tunnel structural inspection and assessment" (99 citations), presents a comprehensive platform capable of autonomous navigation, stereo image acquisition, and real-time defect identification, including crack detection. This work, along with his contributions to the ROBINSPECT EC project, has significantly advanced automated infrastructure monitoring. His technical expertise extends to stereo vision algorithms, as demonstrated in his work on census transformation of image gradients for improved matching accuracy. More recently, Stentoumis has developed modular mobile mapping platforms for complex indoor and outdoor environments, leveraging the Robot Operating System (ROS) for flexible deployment. His research bridges the gap between theoretical computer vision and practical robotic applications, directly addressing the critical need for efficient, automated inspection of aging transportation tunnels and other civil structures.