Russian Federation
Russian Federation
UDC 629.3
This study evaluates the applicability of machine vision techniques for contactless measurement of the vertical displacement of a tire during laboratory testing on the SIB-1M test bench. Video tracking performed in the Kinovea software environment was compared with data from a reference displacement sensor. The results demonstrate high agreement between the methods (r > 0.999), confirming the suitability of videometry for analysing both static and dynamic tire loading modes.
machine vision systems, video tracking, Kinovea, contactless measurements, wheel dynamics, tire testing
1. Dyatlov E. I. Mashinnoe zrenie: analiticheskiy obzor. – URL: https://cyberleninka.ru/article/n/mashinnoe-zrenie-analiticheskiy-obzor (data obrascheniya: 07.11.2025).
2. Sun' H., Chzhuan S., Kostrov A. A. i dr. Obzor sovremennyh sistem tehnicheskogo zreniya, primenyaemyh v transportnoy otrasli. – URL: https://top-technologies.ru/article/view?id=40150 (data obrascheniya: 07.11.2025).
3. Godzhaev Z.A. Uprugie harakteristiki shiny sverhnizkogo davleniya. Vertikal'nye nagruzki / Z.A. Godzhaev, S.V. Goncharenko, A.V. Artemov, V.I. Pryadkin, T.Z. Godzhaev // Avtomobil'naya promyshlennost'. – 2020. – №8. – S. 18-21. EDN: https://elibrary.ru/QBLHSD
4. Shamyshev A. A. Opredelenie zadachi izmereniya rasstoyaniya do ob'ekta dlya sistem komp'yuternogo zreniya s odnim ob'ektivom. – URL: https://cyberleninka.ru/article/n/opredelenie-zadachi-izmereniiya-rasstoyaniya-do-obekta-dlya-sistem-kompyuternogo-zreniya-s-odnim-obektivom (data obrascheniya: 07.11.2025).
5. Tehnicheskoe zrenie v sistemah upravleniya / pod red. IKI RAN. – M.: IKI RAN, 2011. – URL: https://www.iki.rssi.ru/books/2011tz.pdf (data obrascheniya: 07.11.2025).
6. Godzhaev Z.A. Eksperimental'naya ocenka tyagovo-scepnyh kachestv shiny sverhnizkogo davleniya / Z.A. Godzhaev, S.V. Goncharenko, A.V. Artemov, V.I. Pryadkin, T.Z. Godzhaev // Traktory i sel'hozmashiny. – 2020. – №6. – S. 50-58. DOI: https://doi.org/10.31992/0321-4443-2020-6-50-58; EDN: https://elibrary.ru/BPQZIZ
7. Artemov A.V. Ocenka uvoda shiny sverhnizkogo davleniya v veduschem rezhime / A.V. Artemov, P.A. Kolyadin, V.I. Pryadkin // Materialy MNPK «Arktika: innovacionnye tehnologii, kadry, turizm». – 2020. – № 1(2). – S. 278-283.
8. Licher J. et al. Experimental Investigation of the Tire Wear Process Using a Camera-Based Method with Feature Point Matching. – 2023. – URL: https://www.sciencedirect.com/science/article/pii/S0301679X23007065 (dataobrascheniya: 07.11.2025).
9. Feng M. Q. et al. Non-Contact Vehicle Weigh-in-Motion Using Computer Vision. Measurement, 2020. – URL: https://nscpolteksby.ac.id/ebook/files/Ebook/Journal%20International/Computer%20Engineering/Measurement/Non-Contact%20vehicle%20Weigh-in-Motion%20using%20computer%20vision%20-%20Volume%20153%2C%201%20March%202020%2C%20107415.pdf (data obrascheniya: 07.11.2025).
10. Zhang J. et al. Noncontact Measurement of Tire Deformation Based on Computer Vision and Deep Learning. – 2023. – URL: https://www.sciencedirect.com/science/article/pii/S0263224123005985 (data obrascheniya: 07.11.2025).



