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The focus of this Master's thesis is the enhancement of GOCA software through the development of a Kalman filter module. This module not only tracks object point displacement but also monitors velocity and acceleration over time. Key modifications to the Kalman filter algorithm include forecasting future displacement, velocity, and acceleration, as well as calculating when these metrics are likely to surpass critical thresholds. The work contributes significantly to the fields of cartography and geographic information science.
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Further Development of the L2/L1-norm GOCA Kalman-Filtering DLL and Extension to the Computation and Visualization of Variance Estimations and Probability and Forecasting States, Ghadi Younis
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- Année de publication
- 2014
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