Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

Karkus Peter
Karkus Peter
Jonschkowski Rico
Jonschkowski Rico

ICRA, pp. 4753-4759, 2020.

Cited by: 0|Bibtex|Views115|DOI:https://doi.org/10.1109/ICRA40945.2020.9197452
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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

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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