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Towards a Virtual Reality Interactive Application for Truck Traffic Access Management

  • Alberto Cavallo
  • Alessio Robaldo
  • Francesco BellottiEmail author
  • Riccardo Berta
  • Ivan Carmosino
  • Alessandro De Gloria
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 429)

Abstract

This paper presents an ongoing work towards the realization of a virtual reality system providing an advanced visualization of the access of trucks to a critical road segment, such as a tunnel. The system is currently based on optical and laser sensors, and is able to recognize a truck in a dedicated road lane, and to produce a 3D model of the identified vehicle. The 3D model is then employed inside an interactive 3D application usable in real-time by personnel in a dedicated access/traffic management center. The final goal is to integrate several layers of sensor data (e.g., also including infrared information on the temperature of the truck components) in order to support monitoring and control of the critical road segment.

Keywords

Virtual reality  Laser scanner Point cloud Image processing Unity 3D Traffic management 

References

  1. 1.
    Tsin, Y., Genc, Y., Ramesh, V.: Explicit 3D modeling for vehicle monitoring in non-overlapping cameras. AVSS, Genoa, Italy, 2–4 September, 2009Google Scholar
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    Aspert, N., Santa-Cruz, D., Ebrahimi, T.: Mesh: measuring errors between surfaces using the Hausdorff distance. Multimedia and Expo, 2002. ICME’02. Proceedings. 2002 IEEE International Conference, vol. 1, pp. 705–708 (2002)Google Scholar
  6. 6.
  7. 7.
    Sobral, A., Vacavant, A.: A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Comput. Vis. Image Underst. 122, 4–21 (2014)CrossRefGoogle Scholar
  8. 8.
    Duda, R.O., Hart, P.E.: Use of the Hough transform to detect lines and curves in pictures. Commun. ACM 15, 11–15 (1972)CrossRefzbMATHGoogle Scholar
  9. 9.
    Jagannathan, L., Jawahar, C.V.: Perspective correction methods for camera-based document analysis. In: Proceedings of First International Workshop on Camera-Based Document Analysis and Recognition, pp. 148–154 (2005)Google Scholar
  10. 10.
    Bucci, M., Luzzi, R., Menichelli, F., Menicocci, R., Olivieri, M., Trifiletti, A.: Testing power-analysis attack susceptibility in register-transfer level designs. IET Inf. Secur. 1(3), 128–133 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Alberto Cavallo
    • 1
  • Alessio Robaldo
    • 1
  • Francesco Bellotti
    • 1
    Email author
  • Riccardo Berta
    • 1
  • Ivan Carmosino
    • 1
  • Alessandro De Gloria
    • 1
  1. 1.DITEN - University of GenoaGenoaItaly

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