Research of Interaction Between Applications of Augmented Reality and Control Methods of UAVs
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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.
KeywordsAugmented 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.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
- 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
- 5.Bilton, N.: Google begins testing its augmented reality glasses, 4 April 2012Google Scholar
- 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.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
- 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.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.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.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