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Considering existing questions of the traditional synchronous fusion algorithms, e.g. assumptions of white noise and non-transmission delay produced by the influences of weather, humidity, magnetic field and communication line etc., the paper proposes an improved sequential weighted fusion algorithm, which cannot only deal with colored noise but also adapt automatically the case with network-induced...
Self-localization methods for intelligent mobile robot can be found from literatures. Here, we studied two information fusion methods, namely extended Kalman filter and unscented Kalman filter. They are used to locate the pose of mobile robot that is navigating in the indoor environment. To analyze the performance of the two filters, they were used respectively to fuse the information coming from...
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