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- W1808515973 abstract "The task of predicting target location from sample to sample is approached from the self-management order paradigm (SMOP). This algorithm is concerned with the dynamic estimation of the optimal order of the time-dependent polynomial that best fits to the last observations of the target motion vector. Hardware-software trade-off is discussed for this application, taking into account the algorithms involved in the predictive tracking system. A pipelined multiprocessor architecture which achieves the predictive target tracking in near-real-time is presented. >" @default.
- W1808515973 created "2016-06-24" @default.
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- W1808515973 date "2003-01-02" @default.
- W1808515973 modified "2023-09-26" @default.
- W1808515973 title "A dedicated pipeline processor for target tracking applications" @default.
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- W1808515973 doi "https://doi.org/10.1109/robot.1992.220226" @default.
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