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Proceedings Paper

Increasing situation awareness of the CBRNE robot operators
Author(s): Piotr Jasiobedzki; Ho-Kong Ng; Michel Bondy; Carl H. McDiarmid
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Paper Abstract

Situational awareness of CBRN robot operators is quite limited, as they rely on images and measurements from on-board detectors. This paper describes a novel framework that enables a uniform and intuitive access to live and recent data via 2D and 3D representations of visited sites. These representations are created automatically and augmented with images, models and CBRNE measurements. This framework has been developed for CBRNE Crime Scene Modeler (C2SM), a mobile CBRNE mapping system. The system creates representations (2D floor plans and 3D photorealistic models) of the visited sites, which are then automatically augmented with CBRNE detector measurements. The data stored in a database is accessed using a variety of user interfaces providing different perspectives and increasing operators' situational awareness.

Paper Details

Date Published: 5 May 2010
PDF: 8 pages
Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76660N (5 May 2010); doi: 10.1117/12.850488
Show Author Affiliations
Piotr Jasiobedzki, MacDonald, Dettwiler and Associates Ltd. (Canada)
Ho-Kong Ng, MacDonald, Dettwiler and Associates Ltd. (Canada)
Michel Bondy, MacDonald, Dettwiler and Associates Ltd. (Canada)
Carl H. McDiarmid, Royal Canadian Mounted Police (Canada)


Published in SPIE Proceedings Vol. 7666:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX
Edward M. Carapezza, Editor(s)

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