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embedded mission planning for UAS, Journal of Intelligent and Robotic Systems , 69, 241-256. 4. Dydek Z. T., Annaswamy A. M., Lavretsky E. (2013), Adaptive configuration control of multiple UAVs, Control Engineering Practice , 21, 1043-1052. 5. Garcia R., Barnes L. (2010), Multi-UAV simulator utilizing X-Plane, Journal of Intelligent and Robotic Systems , 57, 393-406. 6. Jinlu H., Yaojin X., Long D., YangQuan C. (2013), Low-cost multi-UAV technologies for contour mapping of nuclear radiation field, Journal of Intelligent and Robotic Systems , 70, 401-410. 7

References [1] Wang. W.: Simulate a Sun for Solar Research: A Literature Review of Solar Simulator Technology . Royal Institute of Technology. Department of Energy Technology. Royal Institute of Technology, Stockholm, Sweden, 2014. [2] Kohraku. S., Kurakowa. K.: A Fundamental Experiment for Discrete-Wavelength LED Solar Simulator. Solar Energy Materials and Solar Cells 90/18-19. (2006) 3364–3370. [3] Bliss. M., Betts. T. R., Gottschlag. R.: An LED-based photovoltaic measurement system with variable spectrum and

Quantum Computation is Equivalent to Standard Quantum Computation , SIAM Journal of Computing, vol. 37, (2007) 11. Umesh Vazirani, Quantum Mechanics and Quantum Computation Lecture Notes , online course, (2013) 12. (20.04.2015).

References Koleske, J.V. (ed.) (1995). Color and Light, Paint and Coating Testing Manual (14th Ed.). Philadelphia: ASTM International, 447-457. Commission Internationale de l'Éclairage. (1999). A Method for Assessing the Quality of Daylight Simulators for Colorimetry. Technical Report CIE 051.2-1999. Datacolor - Lighting Booths Bass, M. (ed.) (2009). Handbook of Optics: Volume II , (3rd Ed.). McGraw-Hill Professional Publishing. Gyula, L. (1982). Színmérés. Budapest: Műszaki Könyvkiadó. (in Hungarian) Omar, R. (2005). Color vision

References [1] Kłos R., The new generation of hyperbaric breathing simulator, Akademia Marynarki Wojennej [Polish Naval Acadeny, Department of Underwater Works Technology], Gdynia 2010.

References 1. Luo, Z.-H., Y.-D. Wei, X.-J., Zhou et al. Research on Variable Input Washout Algorithm for Stewart Platform Vehicle Simulator. – Journal of Zhejiang University (Engineering Science), Vol. 47 , 2013, No 2, pp. 238-243. 2. Dong, Y., C. Xu, J. Tang et al. Design and Test Research of Washout Filter for 6-DOF Platform. – Journal of Mechanical Engineering, Vol. 46 , 2010, No 3, pp. 53-58. 3. Telban, R. J., W. Wu, Cardullo. Motion Cueing Algorithm Development: Initial Investigation and Redesign of the Algorithm. NASA, 2000. 4. Wang, X. L., L. Li, W. H

References Cervantes-Sanchez J.J., Rico-Martínez J.M., Pacheco-Gutiérrez S. and Cerda-Villafañ G. (2011): Static analysis of spatial parallel manipulators by means of the principle of virtual work. - Robotics and Computer-Integrated Manufacturing, vol.26, Elsevier. Garrett N.J.I. and Best M.C. (2013): Model predictive driving simulator motion cueing algorithm with actuator-based constraints. - Vehicle System Dynamics, Taylor and Francis. Lozia Z. (2008): Car Driving Simulator. - Warsaw: WKŁ. Tora G. (2012): Modelling of a platform mechanism of an active

Processing - available in Polish]. [6] Przybylski M., Symulator operatora ręcznego i automatycznego śledzenia przy wykorzystaniu zobrazowania wizyjnego, MSc thesis, Wojskowa Akademia Techniczna, Warszawa 2011 [Simulator of the Manual Operator and Automatic Tracking at the Use of Picture Visualization - available in Polish]. [7] Trainer TR-23-2, Trainer TR-ZU-23-2, TRYTON platform, Trainer TR-PPZR GROM, [Depth Perception Based on Moving Camera - available in Polish], [online], [access 16.05.2017]. [8] Wantoch-Rekowski R., Roguski J., Błogowski M

References [1] Choi, K.S., Soo, S., Chung, F.L. (2009). A virtual training simulator for learning cataract surgery with phacoemulsification. Computers in Biology and Medicine, 39 (11), 1020-1031. [2] Longo, F., Massei, M., Nicoletti, L. (2012). An application of modeling and simulation to support industrial plants design. International Journal of Modeling, Simulation, and Scientific Computing, 3, 1240001. [3] Zheng, W., Zhenyu, L., Jianrong, T., Yun, F., Changjiang, W. (2006). A virtual environment simulator for mechanical system dynamics with online interactive


A Tunnel Traffic & Operation Simulator is a device of the Centre of Transport Research at the University of Žilina. The Simulator allows managing technological equipment of virtual two-tube highway tunnel, which is interconnected with simulation of vehicle traffic in tunnel. Changes of the traffic-operation states and other equipment are reflecting at the simulated traffic, as well as simulations of various emergency events in traffic initiate changes in tunnel detecting and measuring devices. It is thus possible to simulate emergency states, which can be affected by various faults of technology as well as by climatic conditions. The solutions can be found in irreplaceable experiences of Slovak road tunnel operators, changes of trafficoperation states, visualizations of operator technological display screens, technological devices labelling in order to increase operational safety of road tunnels.