Abstract
This paper presents a retrieval method of similar inspection records based on experienced inspectors' evaluation in order to realize more efficient maintenance inspection for road structures such as bridges and tunnels. The proposed method introduces distance metric learning based on experienced inspectors' evaluation, and enables calculation of distances suitable for the retrieval of inspection records. Furthermore, the proposed method performs rank-level fusion that can successfully integrate retrieval results obtained from different aspects, i.e., image and text information. Consequently, inspectors can evaluate distresses referring to past similar records by our retrieval method. Therefore, since it is possible to reduce the differences of evaluation between inspectors for distress assessment, more efficient and accurate maintenance inspection becomes feasible. The effectiveness of the proposed method is verified by several experiments with actual inspection records.
