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Multi-UAV Experiments: Application to Forest Fires

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Multiple Heterogeneous Unmanned Aerial Vehicles

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 37))

Abstract

This Chapter presents the application of a multi-UAV system to forest fires. Particularly the experiments carried out with the COMETS system will be presented. After the introduction and motivation, the UAVs, sensors and basic methods are presented. The third section deals with the general description of the fire detection, localization and monitoring. The next sections are devoted to the multi-UAV surveillance and fire alarm detection, fire observation and monitoring, and cooperative fire monitoring. These sections include short summaries of experiments carried out in the Lousã airfield and the Serra de Gestosa, near Coimbra (Portugal).

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References

  1. Ambrosia, V.G.: Remotely piloted vehicles as fire imaging platforms: The future is here! Wildfire Magazine (May–June 2002)

    Google Scholar 

  2. Arrue, B.C., Ollero, A., Martinez de Dios, J.R.: An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intelligent Systems 15(3), 64–73 (2000)

    Article  Google Scholar 

  3. Martinez de~Dios, J.R., Ollero, A.: A multiresolution threshold selection method based on training. In: Campilho, A., Kamel, M. (eds.) ICIAR 2004. LNCS, vol. 3211, pp. 90–97. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Dierre, D., Hoff, H., Bouchet, M.: RAPSODI, rapid smoke detec-tion and forest fire control. In: Proceedings of the Research Special Session of the Euromediterranean Wildfire Meeting, Hyères, France, October 2000, pp. 89–96 (2000)

    Google Scholar 

  5. Hygounenc, E., et al.: The Autonomous Blimp Project of LAAS-CNRS: Achievements in Flight Control and Terrain Mapping. The International Journal of Robotics Research 23(4–5), 473–511 (2004)

    Article  Google Scholar 

  6. Jang, J.-S.R.: ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 23, 665–684 (1993)

    Article  Google Scholar 

  7. Kjedlsen, R., Kender, J.: Finding skin in colour images. In: Proceedings of the International Workshop on Face and Gesture Recognition, pp. 144–150 (1996)

    Google Scholar 

  8. Maza, I., Ollero, A.: Multiple UAV cooperative searching operation using polygon area decomposition and efficient coverage algorithms. In: Proceedings of the 7th International Symposium on Distributed Autonomous Robotic Systems (DARS), Toulouse, France, June 2004, pp. 211–220 (2004)

    Google Scholar 

  9. Ollero, A., et al.: Helicopter teleoperation for aerial monitoring in the COMETS multi-UAV system. In: Proceedings of the 3rd IARP Workshop on Service, Assistive and Personal Robots (IARP), Madrid, Spain, October 2003, pp. 137–142 (2003)

    Google Scholar 

  10. Rauste, Y.: Forest fire detection with satellites for forest fire control. In: Proceedings of the XVIII Congress of the International Society for Photogrammetry and Remote Sensing, vol. XXXI, Vienna, Austria, July 1996, pp. 584–588 (1996)

    Google Scholar 

  11. Remuß, V., Musial, M., Hommel, G.: MARVIN – an autonomous flying robot-based on mass market components. In: Proceedings of the Aerial Robotics Workshop of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, September–October 2002, pp. 23–28 (2002)

    Google Scholar 

  12. Tourné, I.F., Gonzalo, J., Yagüe, P.: The fuego system. In: Proceedings of the Research Special Session of the Euromediterranean Wildfire Meeting, Hyères, France, October 2000, pp. 118–122 (2000)

    Google Scholar 

  13. Utkin, A.B., et al.: Forest fire detection by means of lidar. In: Proceedings of IV International Conference on Forest Fire Research / 2002 Wildland Fire Safety Summit, Coimbra, Portugal, November 2002, pp. 18–23 (2002)

    Google Scholar 

  14. Viegas, D.X.: Innovations and solutions in fire behavior prediction issues. Forest fires: needs and innovations. In: Proceedings of the Delfi International Symposium, Athens, Greece, pp. 164–173 (1999)

    Google Scholar 

  15. Phillips III., W., Shah, M., da Vitoria Lobo, N.: Flame recognition in video. Pattern Recogn. Lett. 23(1–3), 319–327 (2002)

    Article  MATH  Google Scholar 

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Aníbal Ollero Iván Maza

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Martínez-de-Dios, J.R., Merino, L., Ollero, A., Ribeiro, L.M., Viegas, X. (2007). Multi-UAV Experiments: Application to Forest Fires. In: Ollero, A., Maza, I. (eds) Multiple Heterogeneous Unmanned Aerial Vehicles. Springer Tracts in Advanced Robotics, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73958-6_8

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  • DOI: https://doi.org/10.1007/978-3-540-73958-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73957-9

  • Online ISBN: 978-3-540-73958-6

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