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3 September 1993 Cost-effective implementation of passive ranging algorithms on general-purpose parallel architectures
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A broad variety of passive ranging algorithms are currently being developed and enhanced at NASA Ames and elsewhere. Some of the factors resulting in algorithm variability include (a) number of sensors (e.g., stereo), (b) type of input sensors (e.g., multispectral), and (c) output display needs (e.g., history vectors superimposed on raw video). This paper describes a cost- effective, real-time general purpose (reprogrammable) computationally scalable digital processing architecture that enables researchers to perform comparative evaluations in a laboratory or field environment. Performance benchmark studies indicate that the passive ranging algorithm developed at NASA-Ames can be executed by a 32 processor based shared memory multiprocessor architecture, implemented on two (9U) VME boards.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jay S. Karmarkar, Banavar Sridhar, and M. Lakshmanan "Cost-effective implementation of passive ranging algorithms on general-purpose parallel architectures", Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993);

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