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Three-dimensional Perception for Mobile Robots: Concepts and Approaches for the

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For example, the object classification is based on associative Markov networks, using a faster learning algorithm and an extension to improve the classification rate. Finally, we show the usefulness of the developed algorithms in two application scenarios: an autonomous car used for 3D mapping, and a system to handle occlusions in 3D range data.

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