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Proceedings Paper

Tier-scalable reconnaissance: the challenge of sensor optimization, sensor deployment, sensor fusion, and sensor interoperability
Author(s): Wolfgang Fink; Thomas George; Mark A Tarbell
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Paper Abstract

Robotic reconnaissance operations are called for in extreme environments, not only those such as space, including planetary atmospheres, surfaces, and subsurfaces, but also in potentially hazardous or inaccessible operational areas on Earth, such as mine fields, battlefield environments, enemy occupied territories, terrorist infiltrated environments, or areas that have been exposed to biochemical agents or radiation. Real time reconnaissance enables the identification and characterization of transient events. A fundamentally new mission concept for tier-scalable reconnaissance of operational areas, originated by Fink et al., is aimed at replacing the engineering and safety constrained mission designs of the past. The tier-scalable paradigm integrates multi-tier (orbit atmosphere surface/subsurface) and multi-agent (satellite UAV/blimp surface/subsurface sensing platforms) hierarchical mission architectures, introducing not only mission redundancy and safety, but also enabling and optimizing intelligent, less constrained, and distributed reconnaissance in real time. Given the mass, size, and power constraints faced by such a multi-platform approach, this is an ideal application scenario for a diverse set of MEMS sensors. To support such mission architectures, a high degree of operational autonomy is required. Essential elements of such operational autonomy are: (1) automatic mapping of an operational area from different vantage points (including vehicle health monitoring); (2) automatic feature extraction and target/region-of-interest identification within the mapped operational area; and (3) automatic target prioritization for close-up examination. These requirements imply the optimal deployment of MEMS sensors and sensor platforms, sensor fusion, and sensor interoperability.

Paper Details

Date Published: 3 May 2007
PDF: 13 pages
Proc. SPIE 6556, Micro (MEMS) and Nanotechnologies for Defense and Security, 655611 (3 May 2007); doi: 10.1117/12.721486
Show Author Affiliations
Wolfgang Fink, California Institute of Technology (United States)
Thomas George, ViaLogy LLC (United States)
Mark A Tarbell, California Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6556:
Micro (MEMS) and Nanotechnologies for Defense and Security
Thomas George; Zhongyang Cheng, Editor(s)

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