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Proceedings Paper

Modular Real Time Architectures For Image Understanding Applications
Author(s): William W. Wehner
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Paper Abstract

Diverse image understanding (IU) system applications and attendant reduced life cycle cost requirements call for real time system architectures which are increasingly flexible, maintainable, reprogrammable, and upgradable. The requirements for algorithm mapping to architecture are sufficiently complex to require automated functional analysis tools. Algorithm complexity dictates higher order language (HOL) system programmability for acceptable software development cycles. Architecture complexity requires automated architecture simulation/emulation support for acceptable hardware development cycles. Honeywell, through external contracts and IR&D, is pursuing the definition and development of real time IU architectures (and algorithms) which cost-effectively support diverse applications including tactical targeting and reconnaissance, scene analysis, robot vision, and autonomous navigation. We are addressing the systems requirements of these applications with designs which are modular, expandable, and software configurable. Our presentation will overview the IU applications we are pursuing, our architectural approach to meeting system real time throughput requirements, and our underlying design methodology for architecture development.

Paper Details

Date Published: 11 July 1985
PDF: 10 pages
Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946560
Show Author Affiliations
William W. Wehner, Systems and Research Center (United States)


Published in SPIE Proceedings Vol. 0534:
Architectures and Algorithms for Digital Image Processing II
Francis J. Corbett, Editor(s)

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