Autonomous Navigation Systems for Emergency Management in Buildings
The evacuation of urban areas during an emergency is complex and challenging due to the dynamic conditions and ambiguity of information available to people in the affected area. Autonomous navigation systems can improve the outcome of such evacuations by providing up-to-date guidance and directions to people during the emergency. In this paper, the authors present two distributed navigation systems deployed inside a confined space, such as a building, that use simple but effective communications to gather and disseminate information for the computation of evacuation paths. The first system is composed of a network of static Decision Nodes (DNs) positioned in the building, where DNs distributedly compute the best paths using local communication and computation, and each DN provides directions to people in its vicinity.