Modular Real Time Architectures For Image Understanding Applications

William W. Wehner

doi:10.1117/12.946560

11 July 1985 Modular Real Time Architectures For Image Understanding Applications

William W. Wehner

Proceedings Volume 0534, Architectures and Algorithms for Digital Image Processing II; (1985) https://doi.org/10.1117/12.946560
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States

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.

Citation Download Citation

William W. Wehner "Modular Real Time Architectures For Image Understanding Applications", Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); https://doi.org/10.1117/12.946560

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