Advertisement

Improving Situational Awareness for First Responders

  • Francesca De Cillis
  • Francesca De Simio
  • Federica Inderst
  • Luca Faramondi
  • Federica PascucciEmail author
  • Roberto Setola
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8985)

Abstract

This paper aims at exploring a novel approach for indoor localisation by exploiting data fusion. Specifically, personnel localisation in rescue scenarios is addressed: the key idea is to increase the situation awareness of rescuers. A pedestrian dead reckoning algorithm based on waist mounted inertial sensors is designed to cope with different human activities. The drifting estimate is re-calibrated by using information gathered from the environment. The outcomes of experimental trials performed in a real scenario are reported.

Keywords

Situational awareness Crisis management Personnel indoor localisation 

Notes

Acknowledgments

With the financial support of Directorate General Home Affairs (EC) Grant Home/2010/CIPS/AG/033 REFIRE This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use which may be made of the information contained therein.

References

  1. 1.
    Faramondi, L., Inderst, F., Pascucci, F., Setola, R., Delprato, U.: An enhanced indoor positioning system for first responders. In: Proceedings of 4th IEEE International Conference on Indoor Positioning and Indoor Navigation, Montbéliard-Belfor, France (2013)Google Scholar
  2. 2.
    Faramondi, L., Inderst, F., Panzieri, S., Pascucci, F.: Hybrid map building for personal indoor navigation systems. In: Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2014)Google Scholar
  3. 3.
    Endsley, M.R.: Situation awareness global assessment technique (SAGAT). In: Proceedings of the National Aerospace and Electronics Conference, New York, pp. 789–795Google Scholar
  4. 4.
    De Cillis, F., De Simio, F., Faramondi, L., Inderst, F., Pascucci, F., Setola, R.: Indoor positioning system using walking pattern classification. In: Proceedings of 22nd IEEE Mediterranean Conference on Control and Automation, Palermo, Italy (2014)Google Scholar
  5. 5.
    Harmer, D., Russell, M., Frazer, E., Bauge, T., Ingram, S., Schmidt, N., Kull, B., Yarovoy, A., Nezirovic, A., Xia3, L., Dizdarevic, V., Witrisal, K.: In: EUROPCOM: Emergency Ultrawideband RadiO for Positioning and COMmunications. In: Proceedings of the IEEE International Conferenceon Ultra-Wideband (2008)Google Scholar
  6. 6.
    Klann, M.: Tactical navigation support for firefighters: the lifenet ad-hoc sensor-network and wearable system. In: Löffler, J., Klann, M. (eds.) Mobile Response. LNCS, vol. 5424, pp. 41–56. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Kulich, M., Kout, J., Preucil, L., Mazl, R., Chudoba, J., Saarinen, J., Suomela, J., Halme, A., Driewer, F., Baier, H.,Schilling, K., Ruangpayoongsak, N., Roth, H.: PeLoTe a heterogeneous telematic system for cooperative search and rescue missions. In: Proceedings of the 2004 IEEE/RSJ International Conference IROS (2004)Google Scholar
  8. 8.
    Pascucci, F., Setola, R.: An adaptive localization system for first responders. In: Proceedings of the 1st IEEE International Conference on Wireless Technologies forHumanitarians Relief (2011)Google Scholar
  9. 9.
    Pascucci, F., Setola, R.: An indoor localization framework for hybrid rescueteams. In: Proceedings of the 18th IFAC World Congress (2011)Google Scholar
  10. 10.
    Pascucci, F., Panzieri, S., Setola, R., Oliva, G., Marsella, S., Marzoli, M., Delprato, U., Borelli, G., Carpanelli, M.: In: A REference implementation of interoperable indoor location & communication systems for First REsponders: the REFIRE project. In: IEEE International Symposium on Safety, Security, and Rescue Robotics (2012)Google Scholar
  11. 11.
    Renaudin, V., Yalak, O., Tom, P., Merminod, B.: Indoor navigation of emergency agents. Eur. J. Navig. 5(3), 36–45 (2007)Google Scholar
  12. 12.
    Sabatini, A.M.: Quaternion-based extended kalman filter for determining orientation by inertial and magnetic sensing. IEEE Tran. on Biomed. Eng. 53(7), 1346–1356 (2006)CrossRefGoogle Scholar
  13. 13.
    Wilson, J., Bhargava, V., Redfern, A., Wright, P.: A wireless sensor network and incident command interface for urban firefighting. In: Proceedings of the 4th Annual International Conference on Mobile, Ubiquitous Systems: Networking & Services (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Francesca De Cillis
    • 1
  • Francesca De Simio
    • 1
  • Federica Inderst
    • 2
  • Luca Faramondi
    • 2
  • Federica Pascucci
    • 2
    Email author
  • Roberto Setola
    • 1
  1. 1.Complex Systems and Security LabUniversità Campus Bio-Medico di RomaRomeItaly
  2. 2.Department of EngineeringUniversità degli Studi Roma TreRomeItaly

Personalised recommendations