Artificial Intelligence and Data Science
Online ISSN : 2435-9262
The Research on NeRF for Realizing Digital Twin Inspection
Masami ABEFumika MOCHIDARyo WATANABE
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 3 Pages 286-294

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Abstract

For the maintenance of civil engineering structures, it is important to accumulate records of damage and deterioration as materials for diagnosis and the next inspection, to determine whether the location and appearance of the damage is progressing, and whether repairs are necessary. For bridges and damage, videos were used as input data, and 3D scenes were constructed using NeRF (K-Planes), and a 3D solid model was constructed from the NeRF information, and a study was conducted on the use of this for digital twin inspection. A NeRF model was also demonstrated outdoors, where actual infrastructure inspections are carried out, to confirm the accuracy of the 3D model constructed and identify issues unique to field inspections.

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© 2024 Japan Society of Civil Engineers
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