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Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
This paper presents an end-to-end multi-modal learning approach for monocular Visual-Inertial Odometry (VIO), which is specifically designed to exploit sensor complementarity in the light of sensor degradation scenarios.
Visual-Inertial Telepresence for Aerial Manipulation
This paper presents a novel telepresence system for enhancing aerial manipulation capabilities.
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