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Virtual Environment Mapping Module to Manage Intelligent Flight in an Indoor Drone

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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Abstract

This paper presents a Virtual Environment Mapping (VEM) module assembled in an indoor drone in order to be used by creative industries. This module is in charge of allowing users to capture the environment where the final recording will take place. Having a virtual representation of the environment allows both the photography director and the director to test different camera trajectories, points of view, speeds and camera configuration without the need to be physically in the recording set. The digitization of the scene will be performed with a 3D camera on-board of the drone. This paper discusses the overall VEM architecture, taking into account the requirements it has to fulfil. It will also present a working demo of the system, with the communication infrastructure in place and with a proof of concept of the main components of system.

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References

  1. Castillo, P., García, P., Lozano, R., Albertos, P.: Modelado y estabilización de un helicóptero con cuatro rotores. Revista Iberoamericana de Automática e Informática Industrial RIAI 4(1), 41–57 (2007)

    Article  Google Scholar 

  2. Hussein, A., Al-Kaff, A., de la Escalera, A., Armingol, J.M.: Autonomous indoor navigation of low-cost quadcopters. In: 2015 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), pp. 133–138. IEEE, November 2015

    Google Scholar 

  3. Santana, L.V., Brandao, A.S., Sarcinelli-Filho, M., Carelli, R.: A trajectory tracking and 3D positioning controller for the ar. drone quadrotor. In: 2014 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 756–767. IEEE, May 2014

    Google Scholar 

  4. Martínez, S.E., Tomas-Rodriguez, M.: Three-dimensional trajectory tracking of a quadrotor through PVA control. Revista Iberoamericana de Automática e Informática Industrial RIAI 11(1), 54–67 (2014)

    Article  Google Scholar 

  5. Heng, L., Honegger, D., Lee, G.H., Meier, L., Tanskanen, P., Fraundorfer, F., Pollefeys, M.: Autonomous visual mapping and exploration with a micro aerial vehicle. J. Field Robot. 31(4), 654–675 (2014)

    Article  Google Scholar 

  6. Munera, E., Poza-Lujan, J.L., Posadas-Yagüe, J.L., Simó-Ten, J.E., Noguera, J.F.B.: Dynamic reconfiguration of a RGBD sensor based on QoS and QoC requirements in distributed systems. Sensors 15(8), 18080–18101 (2015)

    Article  Google Scholar 

  7. Pfister, H., Zwicker, M., van Baar, J., Gross, M.: Surfels: surface elements as rendering primitives. In: SIGGRAPH (2000)

    Google Scholar 

  8. Lindstrom, P., Koller, D., Ribarsky, W., Hodges, L.F., Faust, N., Turner, G.A.: Real-time, continuous level of detail rendering of height fields. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 109–118. ACM, August 1996

    Google Scholar 

  9. Preiner, R., Jeschke, S., Wimmer, M.: Auto splats: dynamic point cloud visualization on the GPU. In: Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (2012)

    Google Scholar 

  10. Koenig, N., Howard, A.: Design and use paradigms for gazebo, an open-source multi-robot simulator. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), vol. 3, pp. 2149–2154. IEEE, September 2004

    Google Scholar 

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Acknowledgements

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 732433 (reference: H2020-ICT-2016-2017, www.airt.eu).

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Correspondence to Jose-Luis Poza-Lujan .

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Tipantuña-Topanta, GJ., Abad, F., Mollá, R., Posadas-Yagüe, JL., Poza-Lujan, JL. (2018). Virtual Environment Mapping Module to Manage Intelligent Flight in an Indoor Drone. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-94779-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94778-5

  • Online ISBN: 978-3-319-94779-2

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