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A. V. Maltsev, D. V. Omelchenko Modeling of Video Surveillance Systems in 3D Scenes for Virtual Environment |
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Abstract.
The paper presents methods and approaches for simulation of controlled video surveillance complexes in virtual environment systems and training complexes on the example of a prototype simulator for landing a manned spacecraft on the lunar surface. Original solutions include principles of creating virtual models of observation and image display devices in 3D modeling system Autodesk 3ds Max, methods for operation simulation of a real camera and screen, as well as surveillance system control by means of three-dimensional virtual control panel.
Keywords:
virtual environment, training complex, texture, camera, screen, control scheme, moon landing.
PP. 25-34.
DOI 10.14357/20718632220403 References
1. Selivanov V.V., Selivanova L.N. Virtual reality as method and means of learning // Educational Technology and Society. 2014. Vol. 17, No.3. P.378-391. 2. Garcia A.D., Schlueter J., Paddock E. Training astronauts using hardware-in-the-loop simulations and virtual reality // AIAA SciTech Forum, Orlando, FL. 2020. 3. Bruguera M.B., Ilk V., Ruber S., Ewald R. Use of virtual reality for astronaut training in future space missions – spacecraft piloting for the Lunar Orbital Platform – Gateway (LOP-G) // 70th International Astronautics Congress, Washington D.C. 2019. 4. XR PRO. Virtual reality in learning. Oil industry. URL: https://www.youtube.com/watch?v=keXlfMKyxsI (accessed: June 21, 2022). 5. DreamPort. VR Fire Safety Training. URL: https://www.youtube.com/watch?v=cm9vFeB18X8 (accessed: June 21, 2022). 6. Maltsev A.V., Torgashev M.A. Virtual environment visualization with using VR headset // Trudy NIISI RAN, Proceedings of SRISA RAS. 2020. Vol. 10, No.1. P. 22-25. 7. Boletsis C. The New Era of Virtual Reality Locomotion: A Systematic Literature Review of Techniques and a Proposed Typology // Multimodal Technologies and Interaction. 2017, 1, 24. 8. Maltsev A.V., Omelchenko D.V. Technologies and methods for the operator immersion in a three-dimensional virtual environment // Trudy NIISI RAN, Proceedings of SRISA RAS. 2019. Vol. 9, No.2. P. 59-63. 9. Bisagno N., Conci N. Virtual camera modeling for multiview simulation of surveillance scenes // Proceedings of the 26th European Signal Processing Conference (EUSIPCO). 2018. P. 2170-2174. 10. Kučiš M., Zemčík P. Simulation of Camera Features // Proceedings of the 16th Central European Seminar on Computer Graphics. 2012. P. 117-123. 11. Barsky B.A., Horn D.R., Klein S.A., Pang J.A., Yu M. Camera models and optical systems used in computer graphics: part I, object-based techniques // Proceedings of the 2003 international conference on Computational science and its applications. 2003. P. 246-255. 12. Qureshi F.Z., Terzopoulos D. Surveillance in virtual reality: System design and multi-camera control // Conference on Computer Vision and Pattern Recognition. 2007. P. 1-8. 13. Framebuffer object. URL: https://en.wikipedia.org/wiki/Framebuffer_object (accessed: August 15, 2022). 14. Maltsev A.V., Torgashev M.A. Distributed simulation of DOF when rendering virtual scenes on GPU // Trudy NIISI RAN, Proceedings of SRISA RAS. 2019. Vol.9, No.5. P. 100-104. 15. Mikhailyuk M.V., Maltsev A.V., Timokhin P.Yu., Strashnov E.V., Kryuchkov B.I., Usov V.M. The VirSim Virtual Environment System for the Simulation Complexes of Cosmonaut Training // Scientific Journal Manned Spaceflight. 2020. No.4. P. 72-95.
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