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Diagnosis of machine vision of an unmanned vehicle

MATEC Web of Conferences, 2021, Vol.351, p.1011 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/202135101011

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  • Title:
    Diagnosis of machine vision of an unmanned vehicle
  • Author: Zinko, Roman ; Polishchuk, Oleh ; Wilczarska, Joanna
  • Muślewski, Ł. ; Kałaczyński, T. ; Musiał, J.
  • Subjects: Artificial intelligence ; Computer graphics ; Diagnosis ; Machine vision ; Unmanned vehicles ; Vision systems
  • Is Part Of: MATEC Web of Conferences, 2021, Vol.351, p.1011
  • Description: 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.
  • Publisher: Les Ulis: EDP Sciences
  • Language: English
  • Identifier: ISSN: 2261-236X
    ISSN: 2274-7214
    EISSN: 2261-236X
    DOI: 10.1051/matecconf/202135101011
  • Source: EDP Open
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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