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In this paper, we address the problem of mapping dynamic environments with detection of moving objects. The static and moving objects are modeled as the components in a Gaussian mixture model (GMM). By recursively learning of GMM, the components corresponding to the static objects will have higher weights while the components corresponding to the moving objects will have lower weights. At each time...
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