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Thomas Bernoulli, Gerald Glanzer, Thomas Wiebflecker, & Ulrich Walder. (2010). Infrastructurless indoor positioning system for first responders. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: To overview the site of operation in case of an emergency is crucial for effective emergency management. This is a difficult task, in particular within large buildings or underground structures. Information about the whereabouts of the staff is a key element of effective disaster management. This paper presents an indoor positioning system which is able to track and locate people within buildings independent of any infrastructure (global navigation satellite system, WLAN installations, etc.). The system is based on inertial measurement units computing the track of its wearer and a component verifying this position estimates using floor plans of the building. This novel approach allows robust tracking and locating of action forces within buildings and underground structures.
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Mehdi Ben Lazreg, Jaziar Radianti, & Ole-Christoffer Granmo. (2015). SmartRescue: Architecture for Fire Crisis Assessment and Prediction. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: In case of indoor fire hazards, firefighters face difficulties at assessing the fire situation and evacuating trapped victim inside the building, especially when the fire is big, and the building is unknown to them. On the other hand, modern sensor technologies in smartphone are becoming more advanced, widespread, and can be exploited for helping the firefighting operation. This paper proposes using smartphones as a distributed sensing and computing platform, for supporting firefighters to conduct their mission. The developed solution is based on collecting sensor data from smartphones. A Bayesian network then uses this data to generate a picture of the fire and predict its development. The additional indoor positioning feature make this proposed solution a promising tool to make the firefighter intervention more efficient and fast in order to save more lives.
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Ulrich Walder, Thomas Bernoulli, & Thomas Wießflecker. (2009). An indoor positioning system for improved action force command and disaster management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Managing emergency situations in large buildings and underground structures could be simplified if at any time the positions of on-site emergency crews were available. In this paper a system is proposed which combines inertial measurements of moving persons with building floor plans tagged with information on semantics to achieve a novel level of robust indoor positioning. A speech driven user interface tailored for visualization on head mounted displays makes information easily available for action forces. The system is complemented with a self-configurating communication network based on novel approaches combining mobile ad hoc networks, sensor networks, and professional mobile radio systems to make the locally determined positions available to anybody on-site.
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