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Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud

Author

Listed:
  • Viktor Tihanyi

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • András Rövid

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Viktor Remeli

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Zsolt Vincze

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Mihály Csonthó

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Zsombor Pethő

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Mátyás Szalai

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Balázs Varga

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Aws Khalil

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Zsolt Szalay

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

We demonstrate a working functional prototype of a cooperative perception system that maintains a real-time digital twin of the traffic environment, providing a more accurate and more reliable model than any of the participant subsystems—in this case, smart vehicles and infrastructure stations—would manage individually. The importance of such technology is that it can facilitate a spectrum of new derivative services, including cloud-assisted and cloud-controlled ADAS functions, dynamic map generation with analytics for traffic control and road infrastructure monitoring, a digital framework for operating vehicle testing grounds, logistics facilities, etc. In this paper, we constrain our discussion on the viability of the core concept and implement a system that provides a single service: the live visualization of our digital twin in a 3D simulation, which instantly and reliably matches the state of the real-world environment and showcases the advantages of real-time fusion of sensory data from various traffic participants. We envision this prototype system as part of a larger network of local information processing and integration nodes, i.e., the logically centralized digital twin is maintained in a physically distributed edge cloud.

Suggested Citation

  • Viktor Tihanyi & András Rövid & Viktor Remeli & Zsolt Vincze & Mihály Csonthó & Zsombor Pethő & Mátyás Szalai & Balázs Varga & Aws Khalil & Zsolt Szalay, 2021. "Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud," Energies, MDPI, vol. 14(18), pages 1-26, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5930-:d:638396
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    References listed on IDEAS

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    1. H. W. Kuhn, 1955. "The Hungarian method for the assignment problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 2(1‐2), pages 83-97, March.
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    Cited by:

    1. Arno Eichberger & Zsolt Szalay & Martin Fellendorf & Henry Liu, 2022. "Advances in Automated Driving Systems," Energies, MDPI, vol. 15(10), pages 1-5, May.
    2. David Sziroczák & Daniel Rohács, 2021. "Automated Conflict Management Framework Development for Autonomous Aerial and Ground Vehicles," Energies, MDPI, vol. 14(24), pages 1-27, December.

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