Image quality improvement for Fukushima Daiichi remote operations using denoising prior to super resolution

Tanifuji, Yuta; Imabuchi, Takashi; Kawabata, Kuniaki

Proceedings of the 31st International Symposium on Artificial Life and Robotics (AROB 31st 2026), p.1011 - 1016, 2026/01

In decommissioning work at the Fukushima Daiichi Nuclear Power Station (1F), operators must rely on robot camera images degraded by turbidity, floating matter, lens contamination, and radiation induced noise, with no clean reference images available. This study investigates a lightweight restoration pipeline combining Noise2Noise (N2N) denoising and FSRCNN super resolution, and shows that the N2NFSRCNN configuration most consistently improves visibility while suppressing noise and artificial textures, according to NIQE and PIQE scores and subjective evaluation.

Discrimination of the structures in nuclear facility by deep learning based on 3D point cloud data

Imabuchi, Takashi; Tanifuji, Yuta; Kawabata, Kuniaki

Proceedings of 2022 IEEE/SICE International Symposium on System Integration (SII 2022) (Internet), p.1036 - 1040, 2022/01

https://doi.org/10.1109/SII52469.2022.9708845

This paper describes a method for discrimination of the structures in nuclear power station by deep learning based on 3D point cloud data. In order to promote safe and steady decommissioning work, it is important to estimate and assume the condition in nuclear power station based on the measured sensor data. Especially, the data of the dose rate in the workspace is useful to plan the decommissioning task and, the shape and the material property of the structures in the workspace are required for the dose rate simulation. Shape data can be obtained by such as 3D Scan, however, it is difficult to acquire the material property data of the objects. Therefore, we consider that it is possible that the major material property can be estimated from the category of the structures in nuclear power station. In this paper, we proposed a structure discrimination method by 3D semantic segmentation with 3D point cloud data that consists of labeled points by referring category labels of CAD data of existing nuclear facility. We reported discrimination performance of the proposed method by hold-out validation.

Development of a GUI-based operation system for building a 3D point cloud classifier

Tanifuji, Yuta; Kawabata, Kuniaki; Hanari, Toshihide

Proceedings of 2019 IEEE Region Ten Conference (TENCON 2019) (Internet), p.36 - 40, 2019/10

Image reconstruction of radioactive contamination due to the Fukushima-Daiichi Nuclear Power Station Accident using a compact Compton camera

Sato, Yuki; Terasaka, Yuta; Miyamura, Hiroko; Kaburagi, Masaaki; Tanifuji, Yuta; Kawabata, Kuniaki; Torii, Tatsuo

Reactor Dosimetry; 16th International Symposium on Reactor Dosimetry (ISRD-16) (ASTM STP 1608), p.428 - 436, 2018/11

https://doi.org/10.1520/STP160820170060

A 3D radiation image display on a simple virtual reality system created using a game development platform

Sato, Yuki; Terasaka, Yuta; Ozawa, Shingo*; Tanifuji, Yuta; Torii, Tatsuo

Journal of Instrumentation (Internet), 13(8), p.T08011_1 - T08011_10, 2018/08

https://doi.org/10.1088/1748-0221/13/08/T08011

Towards enhancement of test facilities for supporting nuclear decommissioning by remote technology

Kawabata, Kuniaki; Mori, Fumiaki*; Shirasaki, Norihito; Tanifuji, Yuta; Hanari, Toshihide

Proceedings of 2017 IEEE/SICE International Symposium on System Integration (SII 2017), p.450 - 455, 2018/02

https://doi.org/10.1109/SII.2017.8279254

This paper describes the test facilities and experimental environments for supporting the decommissioning of the nuclear facilities especially Fukushima Daiichi Nuclear Power Station by remote operation. Naraha Remote Technology Development Center of Japan Atomic Energy Agency is an institution for such purpose. Mock-up staircase, robot testing pool and motion capture arena are already installed and full service and support began from April, 2016. We are also designing and developing some experimental environment for remotely operated robots for nuclear decommissioning. In this paper, we describe current status and development of test facilities of Naraha Remote Technology Development Center, Japan Atomic Energy Agency.

Development of compact Compton camera for 3D image reconstruction of radioactive contamination

Sato, Yuki; Terasaka, Yuta; Ozawa, Shingo*; Miyamura, Hiroko; Kaburagi, Masaaki; Tanifuji, Yuta; Kawabata, Kuniaki; Torii, Tatsuo

Journal of Instrumentation (Internet), 12(11), p.C11007_1 - C11007_8, 2017/11

https://doi.org/10.1088/1748-0221/12/11/C11007

Radiation imaging system using a compact -ray imager mounted on a remotely operated machine

Sato, Yuki; Kawabata, Kuniaki; Ozawa, Shingo*; Izumi, Ryo*; Kaburagi, Masaaki; Tanifuji, Yuta; Terasaka, Yuta; Miyamura, Hiroko; Kawamura, Takuma; Suzuki, Toshikazu*; et al.

IFAC-PapersOnLine, 50(1), p.1062 - 1066, 2017/07

https://doi.org/10.1016/j.ifacol.2017.08.218

Development of a test field for accessing tasks into the primary containment vessel by remotely operated machines

Kawabata, Kuniaki; Ishiyama, Hiroki; Shirasaki, Norihito; Ono, Takahiro; Hanari, Toshihide; Tanifuji, Yuta

no journal, , 

Development of 3D-LiDAR data of plant structure based on deep learning

Tanifuji, Yuta; Kawabata, Kuniaki

no journal, , 

no abstracts in English