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Localization is one of the important topics for autonomous driving of unmanned ground vehicle(UGV). Most problems in localization are due to uncertainties in the modeling and sensors. Therefore, various filters method are developed to estimate the states with noise. Recently, particle filter is widely used because it can be applied to the system with nonlinear model and non-Gaussian noise. In this...
The performance of a hydrological model heavily depends on choosing suitable model parameters. A framework for automatic calibration of a hydrological model named the Xinanjiang model with multiobjectives has been presented. In the calibration framework, a MOPSO algorithm was employed to find the non-dominated front in the objective space, and an entropy-based TOPSIS ranking method was used to rank...
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