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METHODS FOR ASSESSING AND VERIFYING THE FUNCTIONAL SAFETY OF UNMANNED RAIL VEHICLE PERCEPTION SYSTEMS

Myskiv Ivan Ivanovich  (Postgraduate National Research University ITMO, St. Petersburg )

Popov Ilya Yuryevich  (Ph.D. in Engineering National Research University ITMO, St. Petersburg )

Zakoldaev Danil Anatolyevich  (Associate Professor, Ph.D. in Engineering National Research University ITMO, St. Petersburg )

The article examines the impact of artificial intelligence on the safety of unmanned rail vehicle perception systems. The aim of the study is to develop methods for assessing and verifying the functional safety of unmanned rail vehicle perception systems, reducing the probability of failures and minimizing potential safety threats. The main threats, risks and methods for validating such systems are considered. The article analyzes the functional safety standards applied to systems with artificial intelligence, and considers their limitations. The main technical and software components of the perception system are presented, as well as their role in ensuring the safety of autonomous railway transport.

Keywords:BZhTS, perception system, functional safety, artificial intelligence, validation, modeling, testing, failure.
 

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Citation link:
Myskiv I. I., Popov I. Y., Zakoldaev D. A. METHODS FOR ASSESSING AND VERIFYING THE FUNCTIONAL SAFETY OF UNMANNED RAIL VEHICLE PERCEPTION SYSTEMS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№03. -С. 96-100 DOI 10.37882/2223-2966.2025.03.33
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