DIRECTION OF IMPROVEMENT OF ROAD DATA COLLECTING VEHICLES

Authors

DOI:

https://doi.org/10.30888/2709-2267.2023-17-01-033

Keywords:

road data collecting vehicles, video diagnostics, image processing, road laboratories, road markings

Abstract

The main means of obtaining up-to-date information on the condition of highways remain road data collecting vehicles. An integral element of such systems are means of video diagnostics of highways. The modern level of computer technology allows you to ope

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References

ROMDAS. Road Survey Equipment Manufacturer. URL: https://www.linkedin.com/company/romdas/about/ (дата звернення 10.10.2022 р.)

Richard Hartley , Andrew Zisserman, “Multiple view geometry in computer vision”, Cambridge University Press, New York, NY, 2001.

L.Yang, P.Meer, D.J.Foran "Multiple class segmentation using a unified framework over Mean-Shift patches" In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.

P.Viola, M.J.Jones "Robust real-time face detection" In Proc. of International Journal of Computer Vision 57(2), pp.137-154, 2004.

J. Friedman and T. Hastie and R. Tibshirani, "Additive logistic regression: A statistical vie on boosting" Stanford university technical report.

R.Caruana, A.Niculescu-Mizil “An empirical comparison of supervised learning algorithms” In Proc. of the 23rd International Conference on Machine Learning,pp.161-168, 2006.

S.C.Brubaker, M.D.Mullin, J.M.Rehg “Towards optimal training of cascaded detectors” In. Proc. of European Conference on Computer Vision, pp.325-337, 2006.

Published

2023-03-30

How to Cite

Smolyanyuk, R., & Smolyanyuk, N. (2023). DIRECTION OF IMPROVEMENT OF ROAD DATA COLLECTING VEHICLES. Sworld-Us Conference Proceedings, 1(usc17-01), 38–43. https://doi.org/10.30888/2709-2267.2023-17-01-033