Development of a Scanning Support System Using Augmented Reality for 3D Environment Model Reconstruction

Yuki Harazono, Hirotake Ishii, Hiroshi Shimoda, Yuya Kouda

Abstract: 3D reconstruction models are useful for many situations in maintenance and decommissioning work at nuclear power plants (NPPs). There is a method to make the models from color and depth images. When using the method, it is necessary to scan a target environment without missing in order to make detailed and precise models. However, work sites at NPP are very complicated, and it is difficult to scan without missing. In this study, we aim to develop a scanning support system that enables users to make 3D reconstruction models without missing even in a very complicated environment such as NPPs. The system reminds and encourages users to scan work sites by visualizing unscanned area using an algorithm extended truncated signed distance function.