Abstract
In recent years, the safety and integrity of bridges and critical infrastructure have become a paramount concern for governments and societies worldwide. Traditional inspection methods are often time-consuming, prone to human error, and can be economically taxing. The advent of advanced technologies such as Artificial Intelligence (AI) and blockchain offers a transformative approach to inspecting and maintaining these structures. In this extended abstract we discuss the perspective and opportunities presented by integrating AI and blockchain in the inspection of bridges and critical infrastructure, emphasizing the enhancement of data integrity and the potential for these technologies to revolutionize the field.
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Acknowledgements
This work has been developed in the context of TRUST-RISE project that received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 101007820. This publication reflects only the author’s view, and the REA is not responsible for any use that may be made of the information it contains. The authors want to thank Eng. Ferdinando Cannella, Head of Industrial Robotic Unit at Italian Institute of Technology for his support on smart inspection of bridges using AI and mobile robotics.
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Mancini, A., Galdelli, A. (2024). Inspecting Bridges and Critical Infrastructure: An AI and Blockchain Approach. In: Sangchoolie, B., Adler, R., Hawkins, R., Schleiss, P., Arteconi, A., Mancini, A. (eds) Dependable Computing – EDCC 2024 Workshops. EDCC 2024. Communications in Computer and Information Science, vol 2078. Springer, Cham. https://doi.org/10.1007/978-3-031-56776-6_12
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