Cooperative Unmanned Aerial Systems for Fire Detection, Monitoring, and Extinguishing

  • Luis Merino
  • José Ramiro Martínez-de Dios
  • Aníbal Ollero
Reference work entry

Abstract

This chapter deals with the application of cooperative unmanned aerial systems to forest fires. Fire detection and fire monitoring and measurement to assist in fire extinguishing are discussed. The chapter presents a decision and control architecture for multi-UAS teams in forest firefighting. Then, the applications to fire detection and fire monitoring/measurement are studied by including in both cases the sensors, mainly infrared and visual cameras, the perception techniques (fire segmentation, geolocalization, and data fusion), and some experimental results. Finally the fire extinguishing is also considered, and some results are presented.

Keywords

False Alarm Forest Fire Perception System Infrared Camera Fire Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. B. Arrue, A. Ollero, J. Martínez de Dios, An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intell. Syst. 15(3), 64–73 (2000)CrossRefGoogle Scholar
  2. A. Bradshaw, The UK security and fire fighting advanced robot project, in IEE Colloquium on Advanced Robotic Initiatives in the UK, London, 1991Google Scholar
  3. M. Bryson, A. Reid, F. Ramos, S. Sukkarieh, Airborne vision-based mapping and classification of large farmland environments. J. Field Robot. 27, 632–655 (2010)CrossRefGoogle Scholar
  4. D. Campbell, W.G. Born, J. Beck, B. Bereska, K. Frederick, S. Hua, Airborne wildfire intelligence system: a decision support tool for wildland fire managers in Alberta, in Proceedings of the SPIE, Thermosense XXIV, Orlando, vol. 4710, 2002, pp. 159–170Google Scholar
  5. E. Chuvieco, P. Martin, A simple method for fire growth mapping using AVHRR channel 3 data. Int. J. Remote Sens. 15, 3141–3146 (1994)CrossRefGoogle Scholar
  6. P. Corke, S. Hrabar, R. Peterson, D. Rus, S. Saripalli, G. Sukhatme, Deployment and connectivity repair of a sensor net with a flying robot, in Experimental Robotics IX, ed. by H.A. Marcelo Jr., K. Oussama. Springer Tracks on Advanced Robotics (Springer, New York, 2006)Google Scholar
  7. J.S. de Vries, R.A. Kemp, Results with a multispectral autonomous wildfire detection system, in Proceedings of the SPIE Infrared Technology XX, San Diego, vol. 2269, 1994, pp. 18–28Google Scholar
  8. E. Den Breejen, M. Breuers, F. Cremer, R. Kemp, M. Roos, K. Schutte, J. De Vries, Autonomous forest fire detection, in Proceedings of the 3rd International Conference on Forest Fire Research, Luso, Portugal, 1998, pp. 2003–2012Google Scholar
  9. D. Dierre, H. Hoff, M. Bouchet, RAPSODI: rapid smoke detection and forest fire control, in International Symposium on Forest Fire: Needs and Innovations, Athens, 1999, pp. 415–419Google Scholar
  10. F. Gómez Rodríguez, S. Pascual Peña, B. Arrue, A. Ollero, Smoke detection using image processing, in Proceedings of the IV International Congress on Forest Fire Research ICFFR, Coimbra, 2002Google Scholar
  11. R.D. Hudson, Infrared System Engineering. Wiley Series in Pure and Appleid Optics (Wiley, New York, 1969)Google Scholar
  12. E. Hygounenc, I.-K. Jung, P. Soueres, S. Lacroix, The autonomous blimp project of LAAS-CNRS: achievements in flight control and terrain mapping. Int. J. Robot. Res. 23(4–5), 473–511 (2004)CrossRefGoogle Scholar
  13. V. Kelhä, Y. Rauste, T. Häme, T. Sephton, A. Buongiorno, O. Frauenberger, K. Soini, A. Venäläinen, J. San-Miguel-Ayanz, T. Vainio, Combining AVHRR and ATSR satellite sensor data for operational boreal forest fire detection. Int. J. Remote Sens. 24(8), 1691–1708 (2003)CrossRefGoogle Scholar
  14. H. Kimura, K. Nakaya, S. Hirose, Development of genbu: articulated multi-wheeled mobile robot, in Proceedings of the TITech COE/Super Mechano-Systems Symposium, Tokio, Japan, 2001Google Scholar
  15. S. Lacroix, R. Alami, T. Lemaire, G. Hattenberger, J. Gancet, Decision making in multi-UAV systems: architecture and algorithms, in Multiple Heterogeneous Unmanned Aerial Vehicles, ed. by O. Aníbal, M. Iván. Springer Tracks on Advanced Robotics (Springer, Berlin, 2007)Google Scholar
  16. J. Martínez-de Dios, L. Merino, A. Ollero, Fire detection using autonomous aerial vehicles with infrared and visual cameras, in Proceedings of the 16th IFAC World Congress, Prague, 2005Google Scholar
  17. J. Martínez de Dios, J. André, J.C. Gonçalves, B. Arrue, A. Ollero, D. Viegas, Laboratory fire spread analysis using visual and infrared images. Int. J. Wildland Fire 15, 175–186 (2006)CrossRefGoogle Scholar
  18. J. Martínez de Dios, B. Arrue, L. Merino, A. Ollero, F. Gómez-Rodríguez, Computer vision techniques for forest fire perception. Image Vis. Comput. 26(4), 550–562 (2008)CrossRefGoogle Scholar
  19. J.R. Martínez-de Dios, L. Merino, F. Caballero, A. Ollero, Automatic forest-fire measuring using ground stations and unmanned aerial systems. Sensors 11(6), 6328–6353 (2011)CrossRefGoogle Scholar
  20. I. Maza, F. Caballero, J. Capitan, J.M. de Dios, A. Ollero, A distributed architecture for a robotic platform with aerial sensor transportation and self-deployment capabilities. J. Field Robot. 28(3), 303–328 (2011)CrossRefGoogle Scholar
  21. L. Merino, F. Caballero, J. Martínez de Dios, J. Ferruz, A. Ollero, A cooperative perception system for multiple UAVs: application to automatic detection of forest fires. J. Field Robot. 23(3–4), 165–184 (2006)CrossRefGoogle Scholar
  22. L. Merino, F. Caballero, J. Ferruz, J. Wiklund, A. Ollero, Multi-UAV cooperative perception techniques, in Multiple Heterogeneous Unmanned Aerial Vehicles. Aníbal Ollero and Iván Maza. Springer Tracks on Advanced Robotics (Springer, Berlin, 2007)Google Scholar
  23. L. Merino, F. Caballero, J.M. de Dios, I. Maza, A. Ollero, An unmanned aerial system for automatic forest fire monitoring and measurement. J. Intell. Robot. Syst. 65, 533–548 (2012)CrossRefGoogle Scholar
  24. A. Ollero, L. Merino, Control and perception techniques for aerial robotics. Ann. Rev. Control 28, 167–178 (2004). Elsevier (Francia)CrossRefGoogle Scholar
  25. A. Ollero, I. Maza (eds.), Multiple Heterogeneous Unmanned Aerial Vehicles, Volume 37 of Springer Tracks on Advanced Robotics (Springer, Berlin, 2007)Google Scholar
  26. A. Ollero, S. Lacroix, L. Merino, J. Gancet, J. Wiklund, V. Remuss, I. Veiga, L.G. Gutiérrez, D.X. Viegas, M. González, A. Mallet, R. Alami, R. Chatila, G. Hommel, F. Colmenero, B. Arrue, J. Ferruz, J. Martínez de Dios, F. Caballero, Multiple eyes in the sky: architecture and perception issues in the COMETS unmanned air vehicles project. IEEE Robot. Autom. Mag. 12(2), 46–57 (2005)CrossRefGoogle Scholar
  27. E. Pastora, A. Águeda, J. Andrade-Cetto, M. Munoz, Y. Pérez, E. Planas, Computing the rate of spread of linear flame fronts by thermal image processing. Fire Saf. J. 41, 569–579 (2006)CrossRefGoogle Scholar
  28. J. San Miguel Ayanz, N. Ravail, V. Kelha, A. Ollero, Active fire detection for fire emergency management: potential and limitations for the operational use of remote sensing. Nat. Hazards 35(3), 361–376 (2005)CrossRefGoogle Scholar
  29. K. Su, Automatic fire detection system using adaptive fusion algorithm for fire fighting robot, in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, 2006, pp. 966–971Google Scholar
  30. S. Teh, L. Mejias, P. Corke, W. Hu, Experiments in integrating autonomous uninhabited aerial vehicles (uavs) and wireless sensor networks, in Proceedings of the Australasian Conference on Robotics and Automation (ACRA’08), Brisbane, Canberra, 2008Google Scholar
  31. M. Todd, D. Mascarenas, E. Flynn, T. Rosing, B. Lee, D. Musiani, S. Dasgupta, S. Kpotufe, D. Hsu, R. Gupta, G. Park, T. Overly, M. Nothnagel, C. Farrar, A different approach to sensor networking for shm: remote powering and interrogation with unmanned aerial vehicles, in Proceedings of the 6th International Workshop on Structural Health Monitoring, Stanford, 2007Google Scholar
  32. A. Utkin, A. Fernandes, oes A.V. Lavrov, F. Simõ es, R. Vilar, Feasibility of forest-fire smoke detection using lidar. Int. J. Wildland Fire 12(2), 159–166 (2003)CrossRefGoogle Scholar
  33. D. Viegas, Forest fire propagation. Phil. Trans. R. Soc. Lond. A 356, 2907–2928 (1998)CrossRefGoogle Scholar
  34. D.X. Viegas, M. Cruz, L. Ribeiro, A. Silva, A. Ollero, B. Arrue, J. Martínez de Dios, F. Gómez-Rodríguez, L. Merino, A. Miranda, P. Santos, Gestosa fire spread experiments, in Proceedings of the IV International Congress on Forest Fire Research (ICFFR), Coimbra, 2002, pp. 1–13Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Luis Merino
    • 1
  • José Ramiro Martínez-de Dios
    • 2
  • Aníbal Ollero
    • 3
  1. 1.Pablo de Olavide UniversitySevilleSpain
  2. 2.University of SevilleSevilleSpain
  3. 3.Center for Advanced Aerospace Technologies (CATEC)Parque Tecnológico y Aeronáutico de AndalucíaLa RinconadaSpain

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