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The paper proposes a fast map learning approach for real-time map building and active exploration in unknown indoor environments. This approach includes a map model, a map update method, an exploration method, and a map postprocessing method. The map adopts a grid-based representation and uses frequency value to measure the confidence that a cell is occupied by an obstacle. The exploration method...
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