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Proceedings Paper

Semi-automated processing and routing within indoor structures for emergency response applications
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Paper Abstract

In this work, we propose new automation tools to process 2D building geometry data for effective communication and timely response to critical events in commercial buildings. Given the scale and complexity of commercial buildings, robust and visually rich tools are needed during an emergency. Our data processing pipeline consists of three major components, (1) adjacency graph construction, representing spatial relationships within a building (between hallways, offices, stairways, elevators), (2) identification of elements involved in evacuation routes (hallways, stairways), (3) 3D building network construction, by connecting the oor elements via stairways and elevators. We have used these tools to process a cluster of five academic buildings. Our automation tools (despite some needed manual processing) show a significant advantage over manual processing (a few minutes vs. 2-4 hours). Designed as a client-server model, our system supports analytical capabilities to determine dynamic routing within a building under constraints(parts of the building blocked during emergencies, for instance). Visualization capabilities are provided for easy interaction with the system, on both desktop (command post) stations as well as mobile hand-held devices, simulating a command post-responder scenario.

Paper Details

Date Published: 28 April 2010
PDF: 10 pages
Proc. SPIE 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II, 77090Z (28 April 2010); doi: 10.1117/12.855001
Show Author Affiliations
Jianfei Liu, The Univ. of North Carolina at Charlotte (United States)
Kyle Lyons, The Univ. of North Carolina at Charlotte (United States)
Kalpathi Subramanian, The Univ. of North Carolina at Charlotte (United States)
William Ribarsky, The Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 7709:
Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II
William J. Tolone; John F. Buford; William Ribarsky; Gabriel Jakobson; John Erickson, Editor(s)

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