Issues to be Resolved and R&D to be Promoted for the Utilization of Artificial Intelligence in the Field of Civil Engineering

抄録

Recently, we have witnessed the rapid development of artificial intelligence technology, of which deep learning is a representative example. It is used in a wide range of fields, and its performance has become known. Particularly, the development of supervised learning, such as deep learning, has progressed at a breathtaking pace, and it is also expected to be utilized in the civil engineering field. However, its progress there has lacked the steady development seen in other fields. In this study, we aim to indicate areas that should be addressed in the field of civil engineering in the future. Moreover, using the field of infrastructure maintenance and management as an example, and with a particular focus on data, this study presents the outlook for data platforms in terms of data consolidation and storage, measurement automation for data collection, and ways of linking data and knowledge. This paper is the English translation from the authors’ previous work [Chun, P. J. (2020). "A.I. in civil engineering: a roadmap for research and development." Artificial Intelligence and Data Science, 1(J1), 9-15. (in Japanese)].