Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
ICRA, pp. 4753-4759, 2020.
Mapping and localization, preferably from a small number of observations, are fundamental tasks in robotics. We address these tasks by combining spatial structure (differentiable mapping) and end-to-end learning in a novel neural network architecture: the Differentiable Mapping Network (DMN). The DMN constructs a spatially structured vi...More
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