The course is divided into four lectures. Two lectures, namely (a) ‘Aerial Robotics for Industrial Inspection and the SIMAR project contribution’ and (b) ‘Drone Imaging for Industrial Infrastructure Inspection,’ provide a comprehensive introduction to inspection techniques for industrial infrastructures and highlight the significant role of drones in this field. The subsequent three lectures, (c) ‘Using Artificial Intelligence and Aerial Robots for defect detection and segmentation in Industrial Inspection of Viaduct’, (d) ‘Visual Detection of Elongated Objects’ and (e) ‘Deep Learning Algorithms for Intelligent Support of Workers,’ will provide an in-depth presentation of deep learning solutions for the safe inspection and maintenance of industrial infrastructure. These advanced techniques find practical application in tasks such as localization, which are of paramount importance in autonomous systems and robotic inspection.
This Short Course presents recent deep learning and computer vision advances as applied in industrial infrastructure inspection (Horizon Europe SIMAR project).