文件名称:PHD_Thesis_LiuJing_ECE_2007
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Target tracking has been widely used in different fields such as surveillance, automated
guidance systems, and robotics in general. The most commonly used fr a mework for
tracking is that of Bayesian sequential estimation. This fr a mework is probabilistic in
nature, and thus facilitates the modelling of uncertainties due to inaccurate models,
sensor errors, environmental noise, etc.
guidance systems, and robotics in general. The most commonly used fr a mework for
tracking is that of Bayesian sequential estimation. This fr a mework is probabilistic in
nature, and thus facilitates the modelling of uncertainties due to inaccurate models,
sensor errors, environmental noise, etc.
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PHD_Thesis_LiuJing_ECE_2007.pdf