Research of Interaction Between Applications of Augmented Reality and Control Methods of UAVs

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10372)


In this paper, the interaction between applications of augmented reality and methods of control the unmanned aerial vehicles (UAVs) is studied. During the experiment, the application of augmented reality was used to control the UAV and the camera. Assessment of quality of service of the network and subjective score of quality of experience are carried out. Hurst exponent is used to determinate the correlation between quality of service of the communication network and quality of experience.


Augmented reality Flying ubiquitous sensor networks Unmanned aerial vehicles Quality of service Quality of experience Hurst exponent 



The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008), RFBR according to the research project No. 16-37-00209 mol_a “Development of the principles of integration the Real Sense technology and Internet of Things”.


  1. 1.
    Furukawa, T., Bourgault, F., Durrant-Whyte, H.F., Dissanayake, G.: Dynamic allocation and control of coordinated UAVs to engage multiple targets in a time-optimal manner. In: IEEE International Conference on Robotics and Automation ICRA 2004, vol. 3, pp. 2353–2358 (2004)Google Scholar
  2. 2.
    Park, H.S., Kim, K.-H.: AR-based vehicular safety information system for forward collision warning. In: Shumaker, R., Lackey, S. (eds.) VAMR 2014. LNCS, vol. 8526, pp. 435–442. Springer, Cham (2014). doi: 10.1007/978-3-319-07464-1_40 Google Scholar
  3. 3.
    Fu, W.T., Gasper, J., Kim, S.W.: 2013 IEEE International Symposium on in Mixed and Augmented Reality (ISMAR), pp. 59–66. IEEE (2013)Google Scholar
  4. 4.
    Filonenko, A., Vavilin, A., Kim, T., Jo, K.-H.: Augmented reality surveillance system for road traffic monitoring. In: Huang, D.-S., Jo, K.-H., Wang, L. (eds.) ICIC 2014. LNCS (LNAI), vol. 8589, pp. 310–317. Springer, Cham (2014). doi: 10.1007/978-3-319-09339-0_32 Google Scholar
  5. 5.
    Bilton, N.: Google begins testing its augmented reality glasses, 4 April 2012Google Scholar
  6. 6.
    Aijaz, A., Dohler, M., Aghvami, A.H., Friderikos, V., Frodigh, M.: Realizing the tactile Internet: haptic communications over next generation 5G cellular networks. IEEE Wireless Commun. 24, 82–89 (2016). doi: 10.1109/MWC.2016.1500157RP. IEEE
  7. 7.
    IEEE 802.11-2012 IEEE Standard for Information technology–Telecommunications and information exchange between systems Local and metropolitan area networks–Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) SpecificationsGoogle Scholar
  8. 8.
    Kirichek, R., Koucheryavy, A.: Internet of Things laboratory test bed. In: Zeng, Q.-A. (ed.) Wireless Communications, Networking and Applications. LNEE, vol. 348, pp. 485–494. Springer, New Delhi (2016). doi: 10.1007/978-81-322-2580-5_44 CrossRefGoogle Scholar
  9. 9.
    Kirichek, R., Vladyko, A., Zakharov, M., Koucheryavy, A.: Model networks for Internet of Things and SDN. In: Proceedings of the 18th ICACT, pp. 76–79 (2016)Google Scholar
  10. 10.
    Koucheryavy, A., Vladyko, A., Kirichek, R.: State of the art and research challenges for public flying ubiquitous sensor networks. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART 2015. LNCS, vol. 9247, pp. 299–308. Springer, Cham (2015). doi: 10.1007/978-3-319-23126-6_27 CrossRefGoogle Scholar
  11. 11.
    Makolkina, M., Prokopiev, A., Paramonov, A., Koucheryavy, A.: The quality of experience subjective estimations and the hurst parameters values interdependence. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 311–318. Springer, Cham (2014). doi: 10.1007/978-3-319-10353-2_27 Google Scholar
  12. 12.
    Kirichek, R., Paramonov, A., Koucheryavy, A.: Flying ubiquitous sensor networks as a queueing system. In: Proceedings of the 17th ICACT, pp. 127–132 (2015)Google Scholar
  13. 13.
    Paramonov, A., Koucheryavy, A.: M2M traffic models and flow types in case of mass event detection. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 294–300. Springer, Cham (2014). doi: 10.1007/978-3-319-10353-2_25 Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.The Bonch-Bruevich State University of TelecommunicationsSt. PetersburgRussian Federation
  2. 2.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation

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