Jinhyung Tak

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This paper describes a methodology to predict a future state of unknown high-speed vehicles by applying machine learning techniques. Traditionally, the state estimation of high-speed vehicles is carried out by the variations of Kalman filters, but such state estimation is limited to the temporal moment of the observation. Therefore, the future state of(More)
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