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Cyber-Physical Systems: Industry 4.0 Challenges pp 51–62Cite as

On the Application of the Photogrammetric Method to the Diagnostics of Transport Infrastructure Objects

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 260))

Abstract

The implementation of plans to create “smart cities” as one of the most important parts of the digital economy requires the priority development of transport infrastructure, ensuring the movement of people and goods within the city and surrounding areas. The safe operation and maximum throughput of this cyber-physical system are possible provided that a diagnostic technology is created for transport infrastructure objects, including those based on a video recording of road conditions. The algorithm of technical vision, which is proposed to be implemented as a program on mobile devices, for recognizing objects of the transport infrastructure and their defects using stereometry is investigated. The obtained data can be used when planning road repairs, in the analysis of road accidents, to process applications of road users, etc.

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Author information

Authors and Affiliations

  1. Tomsk State University of Architecture and Building, 2 Solyanaya, Tomsk, 634003, Russia

    Pavel Elugachev & Boris Shumilov

Authors
  1. Pavel Elugachev
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  2. Boris Shumilov
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Corresponding author

Correspondence to Boris Shumilov .

Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim V. Shcherbakov

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Elugachev, P., Shumilov, B. (2020). On the Application of the Photogrammetric Method to the Diagnostics of Transport Infrastructure Objects. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Industry 4.0 Challenges. Studies in Systems, Decision and Control, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-32648-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-32648-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32647-0

  • Online ISBN: 978-3-030-32648-7

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