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

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Handbook of Unmanned Aerial Vehicles

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.

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References

  • 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)

    Article  Google Scholar 

  • A. Bradshaw, The UK security and fire fighting advanced robot project, in IEE Colloquium on Advanced Robotic Initiatives in the UK, London, 1991

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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. 159–170

    Google Scholar 

  • E. Chuvieco, P. Martin, A simple method for fire growth mapping using AVHRR channel 3 data. Int. J. Remote Sens. 15, 3141–3146 (1994)

    Article  Google Scholar 

  • 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 

  • 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. 18–28

    Google Scholar 

  • 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. 2003–2012

    Google Scholar 

  • 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. 415–419

    Google Scholar 

  • 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, 2002

    Google Scholar 

  • R.D. Hudson, Infrared System Engineering. Wiley Series in Pure and Appleid Optics (Wiley, New York, 1969)

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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, 2001

    Google Scholar 

  • 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 

  • 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, 2005

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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 

  • 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)

    Article  Google Scholar 

  • A. Ollero, L. Merino, Control and perception techniques for aerial robotics. Ann. Rev. Control 28, 167–178 (2004). Elsevier (Francia)

    Article  Google Scholar 

  • A. Ollero, I. Maza (eds.), Multiple Heterogeneous Unmanned Aerial Vehicles, Volume 37 of Springer Tracks on Advanced Robotics (Springer, Berlin, 2007)

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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. 966–971

    Google Scholar 

  • 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, 2008

    Google Scholar 

  • 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, 2007

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • D. Viegas, Forest fire propagation. Phil. Trans. R. Soc. Lond. A 356, 2907–2928 (1998)

    Article  Google Scholar 

  • 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. 1–13

    Google Scholar 

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Author information

Authors and Affiliations

  1. Pablo de Olavide University, Seville, Spain

    Luis Merino

  2. University of Seville, Seville, Spain

    José Ramiro Martínez-de Dios

  3. Center for Advanced Aerospace Technologies (CATEC), Parque Tecnológico y Aeronáutico de Andalucía, La Rinconada, Spain

    Aníbal Ollero

Authors
  1. Luis Merino
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  2. José Ramiro Martínez-de Dios
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  3. Aníbal Ollero
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Corresponding author

Correspondence to Aníbal Ollero .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Denver, Denver, Colorado, USA

    Kimon P. Valavanis

  2. School of Electrical and Computer Engineering, The Georgia Institute of Technology, Atlanta, Georgia, USA

    George J. Vachtsevanos

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Merino, L., Martínez-de Dios, J.R., Ollero, A. (2015). Cooperative Unmanned Aerial Systems for Fire Detection, Monitoring, and Extinguishing. In: Valavanis, K., Vachtsevanos, G. (eds) Handbook of Unmanned Aerial Vehicles. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9707-1_74

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