Paper
5 May 2010 Increasing situation awareness of the CBRNE robot operators
Piotr Jasiobedzki, Ho-Kong Ng, Michel Bondy, Carl H. McDiarmid
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piotr Jasiobedzki, Ho-Kong Ng, Michel Bondy, and Carl H. McDiarmid "Increasing situation awareness of the CBRNE robot operators", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76660N (5 May 2010); https://doi.org/10.1117/12.850488
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

Sensors

3D metrology

Weapons of mass destruction

Situational awareness sensors

Data modeling

Cameras

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