Albert A. Vorobyov
Doctor of Technical Science, Senior Research Scientist, Military Academy of Logistics named after General of the Army A.V. Khrulev (VA MTO), Research Institute (Military System Research of the MTO of the Armed Forces of the Russian Federation), Senior Research Scientist, 10a, Voskresenskaya naberezhnaya, Saint Petersburg, 199034, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Vladislav V. Sergeyev
PhD in Technical Sciences, Associate Professor, VA MTO, Military Institute (Engineering and Technical) of the Ministry of Defense of the Russian Federation, Doctoral Student, 8, naberezhnaya Makarova, Saint Petersburg, 199034, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Askar K. Smailov
VA MTO, Adjunct, 8, naberezhnaya Makarova, Saint Petersburg, 199034, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Received July 21, 2022
Abstract
The dynamic development of information technologies, and in particular, artificial intelligence technologies, determines the growing relevance of the study of the possibilities of their implementation in the creation of promising models of weapons and military equipment. The essential definitions of the term «artificial intelligence» are investigated. Typical approaches to improving the effectiveness of the use of weapons and military equipment, on the example of military vehicles, through the introduction of modern artificial intelligence technologies are considered. Based on expert assessments, a list of the main functions of the driver's assistant is formulated, in the implementation of which it is advisable to use artificial intelligence algorithms.
Key words
Algorithm, driver's assistant, weapons and military equipment, artificial intelligence.
DOI
10.31776/RTCJ.11104
Bibliographic description
Vorobyov, A.A., Sergeyev, V.V. and Smailov, A.K. (2023). Prospects of application of artificial intelligence algorithms in the development of weapons and military equipment. Robotics and Technical Cybernetics, 11(1), pp.30-39.
UDC identifier:
355.4: 004.896
References
- (2021). Perechen' Voyennoy Avtomobil'noy Tekhniki Dlya Vooruzhennykh Sil Rossiyskoy Federatsii Na 2021-2030 Gody [List of Military Vehicles for the Armed Forces of the Russian Federation for 2021-2030]. Moscow: Minoborony Rossii, p.328. (in Russian).
- Russian Federation, (2019). Ukaz Prezidenta Rossiyskoy Federatsii ot 10 Oktyabrya 2019 Goda No. 490 «O razvitii iskusstvennogo intellekta v RF» [Decree of the President of the Russian Federation of October 10, 2019 No. 490 «On the development of artificial intelligence in the Russian Federation»]. Available at: http://www.kremlin.ru/acts/bank/44731 (Accessed 05 April 2022).
- (2020). Rasporyazheniye Pravitel'stva RF ot 19 Avgusta 2020 g. № 2129-r Ob Utverzhdenii Kontseptsii Razvitiya Regulirovaniya Otnosheniy v Sfere Tekhnologiy Iskusstvennogo Intellekta I Robototekhniki Na Period Do 2024 g. [Decree of the Government of the Russian Federation of August 19, 2020 No. 2129-r On Approval of the Concept for the Development of Regulation of Relations in the Field of Artificial Intelligence Technologies and Robotics for the Period up to 2024]. Available at: https://www.garant.ru/products/ipo/prime/doc/74460628/ (Accessed 05 April 2022). (in Russian).
- (2020). GOST R 59276-2020 Sposoby obespecheniya doveriya. Obshchiye polozheniya [GOST R 59276-2020 Ways to ensure trust. General provisions]. (in Russian).
- (2020). GOST R 59277-2020 Klassifikatsiya sistem iskusstvennogo intellekta [GOST R 59277-2020 Classification of artificial intelligence systems]. (in Russian).
- (2021). GOST R 59898-2021 Otsenka kachestva sistem iskusstvennogo intellekta. Obshchiye polozheniya [GOST R 59898-2021 Quality assessment of artificial intelligence systems. General provisions]. (in Russian).
- (2021). GOST R 59391-2021 Apparatno-programmnyye sredstva s primeneniyem tekhnologiy iskusstvennogo intellekta dlya kolesnykh transportnykh sredstv [GOST R 59391-2021 Hardware and software using artificial intelligence technologies for wheeled vehicles]. (in Russian).
- Makarova, I.M. and Lokhina, V.M. (ed.). (2001). Intellektual'nyye Sistemy Avtomaticheskogo Upravleniya [Intelligent Automatic Control Systems]. Moscow: FIZMATLIT Publ., p.576. (in Russian).
- Borovskaya, E.V. and Davydova, N.A. (2010). Osnovy Iskusstvennogo Intellekta: Uchebnoye Posobiye [Fundamentals of Artificial Intelligence: Textbook]. Moscow: Laboratoriya znaniy, Pudl., p.127. (in Russian).
- Chikrin, D.E. (2021). Methodological foundations for the design of infocommunication systems for automobile vehicles with a high degree of automation. Doctor of Technical Science Kazan (Volga Region) Federal University. (in Russian).
- (2019). Issledovaniye Sostoyaniya I Perspektiv Rynka Avtonomnykh Avtomobiley, Platform Dlya Elektrotransporta I Toplivnykh Elementov, Otsenka Vliyaniya Na Razvitiye Rossiyskogo I Mezhdunarodnogo Rynka «Avtonet» [Research on the State And Prospects of the Market for Autonomous Vehicles, Platforms For Electric Vehicles And Fuel Cells, Assessment Of the Impact On the Development Of the Russian And International Market Of Autonet]. Moscow: Assotsiatsiya «GLONASS/GNSS-Forum» Pudl., p.245. (in Russian).
- (2021). Formirovaniye Trebovaniy K Nazemnym Robototekhnicheskim Kompleksam Voyennogo Naznacheniya, Prednaznachennym Dlya Perevozki Voinskikh Gruzov V Razlichnykh Usloviyakh Funktsionirovaniya I Primeneniya. Otchet O NIR «Ekipazh» [Formation of Requirements for Ground-Based Military Robotic Complexes Intended for the Transportation of Military Cargo in Various Conditions of Operation And Use. Research report «Ekipazh»]. St. Petersburg: VA MTO, p.158.
- Nave, Ch. (2019). Mapping the Autonomous Vehicle Ecosystem, [online]. Available at: https://medium.com/swlh/mapping-the-autonomous-vehicle-ecosystem-3cd14fd6d750 (Accessed 05 April 2022).
- Mikhaylova, E.A. and Yashen'kina, V.A. (2019). Bespilotnyy avtomobil'nyy transport [Unmanned vehicles]. Molodoy Uchonyy [Young Scientist], 8.2 (246.2), pp.31-36.
- Dolgiy, P.S., Nemykin, G.I. and Dumitrash, G.F. (2019). Bespilotnoye upravleniye transportnymi sredstvami [Unmanned vehicle control]. Molodoy Uchonyy [Young Scientist], 8.2 (246.2), pp.13-15.
- Tuxera, (2018). Autonomous and ADAS Test Cars Produce over 11 TB of Data per Day, [online]. Available at: https://www.tuxera.com/blog/autonomous-and-adas-test-cars-produce-over-11-tb-of-data-per-day/ (Accessed 05 April 2022).
- Urban Mobility Daily, (2019). The European Mobility Startup Landscape, [online]. Available at: https://urbanmobilitydaily.com/the-european-mobility-startup-landscape/ (Accessed 05 April 2022).
- Sankaranarayanan, (2019). Startups, Corporates, and Technologies that Are Shaping the Future of Autonomous Driving, [online]. Available at: https://medium.com/ @sankara2514/startups-corporates-and-technologies-that-are-shaping-autonomous-driving-c5d4089c3de4 (Accessed 05 April 2022).
- (2007). Programma Samoobucheniya 374. Sistemy Kontrolya Stsepleniya S Dorogoy I Podderzhki Voditelya. Ustroystvo I Printsip Deystviya [Self-Study Program 374. Traction Control And Driver Assistance Systems. Device And Principle of Operation]. VOLKSWAGEN AG, Wolfsburg, p.84 с.