Figure 3 - uploaded by Daniel Törtei
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3: i) AdaBoost's linear kernel vs ii) SVM's Gaussian kernel: an example over a complex, linearly non-separable dataset.
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An autonomous mobile platform is endowed with a navigational system which must contain multiple functional bricks: perception, localization, path planning and motion control. As soon as such a robot or vehicle moves in a crowded environment, it continously loops several tasks in real time: sending reference values to motors’ actuators, calculating...
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Simultaneous Localization And Mapping (SLAM) is one of the major bricks needed to build truly autonomous mobile robots. The probabilistic formulation of SLAM is based on two models: the motion model and the observation model. In practice, these models, together with the SLAM map representation, do not model perfectly the robot's real dynamics, the...