INSIGHTS FROM THE SECOND PHD WORKSHOP OF THE SPP 100+
The recent PhD workshop held on November 8, 2023, featured three impactful lectures on the current state of research in infrastructure monitoring and modelling. Univ.-Prof. Dr.-Ing. Guido Morgenthal and Univ.-Prof. Dr.-Ing. habil. Volker Rodehorst discussed image-based condition assessment and damage modeling for large structures, showcasing the integration of drones, advanced cameras, and machine learning for identifying structural anomalies.
Prof. Dr.-Ing. Boris Resnik focused on acquiring traffic data and axle loads through vibration measurements and AI. The final lecture by Univ.-Prof. Dr.-Ing. Jörg Blankenbach highlighted reality capture techniques like laser scanning and photogrammetry for creating detailed 3D models of infrastructure, showcasing practical applications in construction and maintenance. The workshop featured an impressive showcase of technological innovation — the agile mobile robot SPOT from RWTH Aachen, manufactured by Boston Dynamics. SPOT, equipped with advanced sensors and cameras, demonstrated its capabilities in mapping surroundings, navigating obstacles, and performing laser scan measurementsProf. Dr.-Ing. Boris Resnik focused on acquiring traffic data and axle loads through vibration measurements and AI. The final lecture by Univ.-Prof. Dr.-Ing. Jörg Blankenbach highlighted reality capture techniques like laser scanning and photogrammetry for creating detailed 3D models of infrastructure, showcasing practical applications in construction and maintenance. The workshop featured an impressive showcase of technological innovation — the agile mobile robot SPOT from RWTH Aachen, manufactured by Boston Dynamics. SPOT, equipped with advanced sensors and cameras, demonstrated its capabilities in mapping surroundings, navigating obstacles, and performing laser scan measurements.
The workshop encouraged collaboration among researchers within and outside of the SPP 100+, emphasizing the interdisciplinary nature of contemporary research in infrastructure monitoring. The application of image-based techniques, vibration measurements, and reality capture technologies shows promise in enhancing infrastructure assessment, maintenance, and management.