3D space reconstruction and damage detection using LERF

Abstract

In the construction industry, efficient and effective maintenance and management is required for an in- creasing number of infrastructure structures that are more than 50 years old. Conventional visual inspections have technical limitations and human resources shortages, and new technologies are being introduced. In particular, the development of damage detection technology using AI technology and the utilization of 3D data are being promoted, and technologies such as NeRF, CLIP, and LERF are attracting attention. In this study, we reconstructed 3D space from 2D images using LERF and verified whether specific damage can be detected in 3D space. As a result, it was confirmed that damage detection in the reconstructed 3D space was possible, but the accuracy of damage detection needs to be improved. The accuracy of damage detection in the 3D space could be improved by additionally learning damage in CLIP.