VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

23 Apr 2018Noha RadwanAbhinav ValadaWolfram Burgard

Semantic understanding and localization are fundamental enablers of robot autonomy that have for the most part been tackled as disjoint problems. While deep learning has enabled recent breakthroughs across a wide spectrum of scene understanding tasks, its applicability to state estimation tasks has been limited due to the direct formulation that renders it incapable of encoding scene-specific constrains... (read more)

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