Stochastic filtering of unmanned objects parameters in conditions of uncertainty

S. Sokolov; I. Reshetnikova; D. Marshakov; N. Gapon; E. Semenishchev

doi:10.1117/12.3024952

20 June 2024 Stochastic filtering of unmanned objects parameters in conditions of uncertainty

S. Sokolov, I. Reshetnikova, D. Marshakov, N. Gapon, E. Semenishchev

Proceedings Volume 12999, Optical Sensing and Detection VIII; 1299938 (2024) https://doi.org/10.1117/12.3024952
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

The approach to solving the problem of positioning unmanned transport objects, in particular, railway transport, in conditions of measurement interference uncertainty is considered. Today, a large number of urban (as well as railway) infrastructure facilities generate an unpredictable nature of disturbances acting on navigation sensors of unmanned objects. In this case, the use of both satellite measurements and various sensors located on the site (in particular, a video surveillance system) often becomes impossible. A stable high-precision solution to the problem of positioning unmanned transport objects becomes necessary. To solve this problem, the article proposes to use autonomous linear motion parameter meters as sensitive elements of the navigation complex. It is proposed to use a Kalman filter and a robust filtration method to process noisy measurements, including those with uncertain probability characteristics.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

S. Sokolov, I. Reshetnikova, D. Marshakov, N. Gapon, and E. Semenishchev "Stochastic filtering of unmanned objects parameters in conditions of uncertainty", Proc. SPIE 12999, Optical Sensing and Detection VIII, 1299938 (20 June 2024); https://doi.org/10.1117/12.3024952

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