Algorithm for automatic search for sunken radiation sourse by an autonomous unmanned underwater vehicle

Algorithm for automatic search for sunken radiation sourse by an autonomous unmanned underwater vehicle

Alexander K. Baidukov
Candidate of Engineering Sciences, Associate Professor, Leading Research Scientist of the Research and Testing Department, Federal State Institution «12 Central Re-search Institute» of the Ministry of Defense of the Russian Federation, Scientific Research Center for Technical Systems Security, 39, Novoselkovskaya ul., Saint Petersburg, 197375, Russia

Yulia A. Kuznetsova
Candidate of Engineering Sciences, Senior Research Scientist, Federal State Institution «12 Central Re-search Institute» of the Ministry of Defense of the Russian Federation, Scientific Research Center for Technical Systems Security, 39, Novoselkovskaya ul., Saint Petersburg, 197375, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrey V. Pervov
Head of the Laboratory – Deputy Head of the Department, Federal State Institution «12 Central Re-search Institute» of the Ministry of Defense of the Russian Federation, Scientific Research Center for Technical Systems Security, 39, Novoselkovskaya ul., Saint Petersburg, 197375, Russia

Rustem V. Kuznetsov
Junior Research Scientist, Federal State Institution «12 Central Re-search Institute» of the Ministry of Defense of the Russian Federation, Scientific Research Center for Technical Systems Security, 39, Novoselkovskaya ul., Saint Petersburg, 197375, Russia

UDC identifier: 621.039

EDN: MRKNXV

Abstract. The article discusses the identification features of sunken radiation sources the methods used for their registration and the difficulties encountered. The capabilities of underwater technical means for searching for sunken radiation sources and the prospects for their use to create a combined technical search system based on an autonomous uninhabited underwater vehicle with a software-analytical unit for recognizing near-bottom objects based on heterogeneous physical characteristics based on a fuzzy inference algorithm have been studied.

Key words: autonomous unmanned underwater vehicle, radiation sources, combined technical search system, automation, algorithm

For citation: Baidukov, A.K., Kuznetsova, Yu.A., Pervov, A.V. and Kuznetsov, R.V. (2025), "Algorithm for automatic search for sunken radiation sourse by an autonomous unmanned underwater vehicle", Robotics and Technical Cybernetics, vol. 13, no. 4, pp. 251-258, EDN: MRKNXV. (in Russian).

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Received 19.04.2025
Revised 18.05.2025
Accepted 27.07.2025