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A Sample-Based Approach for Hierarchical Information-Theoretic Compression of Probabilistic Occupancy Grids
We develop a sample-based framework for constructing information-driven hierarchical multi-resolution representations of probabilistic occupancy grids. Recent methods compute information-optimal abstractions via dynamic-programming-based exhaustive recursions, which become computationally prohibitiv
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