Věchet Stanislav

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Autonomous mobile robot must be equipped with a number of sensors of various measurement principles. The data fusion of measured data is essential for successful navigation of the robot. The paper describes the data fusion method based on Bayesian network. Apart from theoretical grounds of the used approach, the example is also given fusing the compass, GPS(More)
Presented paper deals with the data fusion of measured environment attributes obtained from different kinds of sensors used by autonomous mobile robot. The method is based on algorithm called Bayesian filter. Implementation details and simulation experiment that fuses three different sensors measurement to determine robot orientation are given in the paper.
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