| Issue |
MATEC Web Conf.
Volume 351, 2021
20th International Conference Diagnostics of Machines and Vehicles “Hybrid Multimedia Mobile Stage”
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 11 | |
| Section | Selected Diagnostic Problems of Hybrid Multimedia Mobile Stages | |
| DOI | https://doi.org/10.1051/matecconf/202135101011 | |
| Published online | 06 December 2021 | |
Diagnosis of machine vision of an unmanned vehicle
1
Lviv Polytechnik National University, St.Bandery Street, 12, Lviv, 79013, Ukraine
2
Khmelnitskyi National University, Instytutska Street, 11, Khmelnytskyi, 29000, Ukraine
3
Bydgoszcz University of Life Sciences and Technology, Faculty of Mechanical Engineering, Kaliskiego Street 7, 85-796 Bydgoszcz, Poland
* Corresponding author: opolishchuk71@gmail.com
There is an increase in the number of cars using artificial intelligence. Therefore, it is necessary to provide quality maintenance of artificial intelligence components, such as machine vision (MV). The paper considers a general approach to the diagnosis of the unmanned vehicle. Based on the analysis of the use of existing systems, general requirements for the diagnosis of unmanned vehicle MV were formulated, diagnostic parameters were proposed. To solve the problem of testing, debugging and diagnostics of the MV, it is proposed to use virtual polygons built using the methods of procedural computer graphics. After diagnosing the MV video cameras, if necessary, they are calibrated according to the images of a special test object.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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