Acknowledgement
This work was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) Project in Advanced Education Group for Innovative AI-based Intelligent Robotics Researchers. (No. 5120201213805).
References
- M.G. Bunn, J. Weeks, J.P. Holdren, A.M. MacFarlane, S.E. Pickett, A. Suzuki, T. Suzuki, Interim Storage of Spent Nuclear Fuel: A Safe, Flexible, and CostEffective Approach to Spent Fuel Management, 2001.
- A.B.J. Jr, Spent fuel storage experience, Nucl. Technol. 43 (1979) 165-173, https://doi.org/10.13182/NT79-A16308.
- F.N. von Hippel, Plutonium and reprocessing of spent nuclear fuel, Science 293 (2001) 2397-2398, https://doi.org/10.1126/science.1064667.
- A. Mutluer, Robotics Challenge winning design helps speed up spent fuel verification, IAEA Bull. 60-2 (2019) 22-23.
- D.S. Wisnubroto, H. Zamroni, R. Sumarbagiono, G. Nurliati, Challenges of implementing the policy and strategy for management of radioactive waste and nuclear spent fuel in Indonesia, Nucl. Eng. Technol. 53 (2021) 549-561, https://doi.org/10.1016/j.net.2020.07.005.
- P. Hogselius, Spent nuclear fuel policies in historical perspective: an international comparison, Energy Pol. 37 (2009) 254-263, https://doi.org/10.1016/j.enpol.2008.09.043.
- K.A. Rogers, Fire in the hole: a review of national spent nuclear fuel disposal policy, Prog. Nucl. Energy 51 (2009) 281-289, https://doi.org/10.1016/j.pnucene.2008.09.004.
- R. Ratiko, D.S. Wisnubroto, N. Nasruddin, T.M.I. Mahlia, Current and future strategies for spent nuclear fuel management in Indonesia, Energy Strategy Rev. 32 (2020), 100575, https://doi.org/10.1016/j.esr.2020.100575.
- Y. Zhou, China's spent nuclear fuel management: current practices and future strategies, Energy Pol. 39 (2011) 4360-4369, https://doi.org/10.1016/j.enpol.2011.04.055.
- M. Mayorov, T. White, A. Lebrun, J. Brutscher, J. Keubler, A. Birnbaum, V. Ivanov, T. Honkamaa, P. Peura, J. Dahlberg, Gamma emission Tomography for the inspection of spent nuclear fuel, in: 2017 IEEE Nucl. Sci. Symp. Med. Imaging Conf. NSSMIC, 2017, pp. 1-2, https://doi.org/10.1109/NSSMIC.2017.8533017.
- M. Fisher, New safeguards tool bolsters IAEA's verification of spent nuclear fuel, IAEA Bull. 60-1 (2019) 33.
- T. Honkamaa, F. Levai, R. Berndt, P. Schwalbach, S. Vaccaro, A. Turunen, A Prototype for Passive Gamma Emission Tomography, International Atomic Energy Agency (IAEA), 2015. http://inis.iaea.org/search/search.aspx?orig_q=RN:46066176.
- E.M. Attas, J.D. Chen, G.J. Young, A Cherenkov viewing device for used-fuel verification, Nucl. Instrum. Methods Phys. Res. Sect. Accel. Spectrometers Detect. Assoc. Equip. 299 (1990) 88-93, https://doi.org/10.1016/0168-9002(90)90753-S.
- E. Brayfindley, R.C. Smith, J. Mattingly, R. Brigantic, Automated defect detection in spent nuclear fuel using combined cerenkov radiation and gamma emission Tomography data, Nucl. Technol. 204 (2018) 343-353, https://doi.org/10.1080/00295450.2018.1490123.
- E. Branger, P. Jansson, S. Grape, S.J. Svard, Improved Cherenkov Light Prediction Model for Enhanced DCVD Performance, International Atomic Energy Agency (IAEA), 2018.
- M. Wang, X. Long, P. Chang, T. Padlr, Autonomous robot navigation with rich information mapping in nuclear storage environments, in: 2018 IEEE Int. Symp. Saf. Secur. Rescue Robot. SSRR, 2018, pp. 1-6, https://doi.org/10.1109/SSRR.2018.8468634.
- B. Song, J. Park, D. Yun, Depth-adaptive controller for spent nuclear fuel inspections, Nucl. Eng. Technol. 52 (2020) 1669-1676, https://doi.org/10.1016/j.net.2020.01.019.
- J. Wagman, T. Nicula-Golovei, The evolution of safeguards technology, IAEA Bull. 63-3 (2022) 14-15.
- T.T. Mac, C. Copot, D.T. Tran, R. De Keyser, Heuristic approaches in robot path planning: a survey, Robot. Autonom. Syst. 86 (2016) 13-28, https://doi.org/10.1016/j.robot.2016.08.001.
- T. Sang, J. Xiao, J. Xiong, H. Xia, Z. Wang, Path planning method of unmanned surface vehicles formation based on improved A* algorithm, J. Mar. Sci. Eng. 11 (2023) 176, https://doi.org/10.3390/jmse11010176.
- C.H. Song, Global path planning method for USV system based on improved ant colony algorithm, Appl. Mech. Mater. 568-570 (2014) 785-788. https://doi.org/10.4028/www.scientific.net/AMM.568-570.785.
- Y. Chen, G. Bai, Y. Zhan, X. Hu, J. Liu, Path planning and obstacle avoiding of the USV based on improved ACO-APF hybrid algorithm with adaptive early-warning, IEEE Access 9 (2021) 40728-40742, https://doi.org/10.1109/ACCESS.2021.3062375.
- J.D. Werner, US Spent Nuclear Fuel Storage, Congressional Research Service, Washington, DC, 2012.
- L. Rockwood, Legal Framework for IAEA Safeguards, 2013.
- IAEA, Nuclear Power Reactors in the World: 2015 Edition, IAEA, Vienna, 2015. http://public.eblib.com/choice/publicfullrecord.aspx?p=4853270. (Accessed 27 February 2020).
- A. Kokaram, Image and Video Processing, (n.d.) 22..
- S. Suzuki, K. be, Topological structural analysis of digitized binary images by border following, Comput. Vis. Graph Image Process 30 (1985) 32-46, https://doi.org/10.1016/0734-189X(85)90016-7.
- D.K. Prasad, M.K.H. Leung, C. Quek, S.-Y. Cho, A novel framework for making dominant point detection methods non-parametric, Image Vis Comput. 30 (2012) 843-859, https://doi.org/10.1016/j.imavis.2012.06.010.