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Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM
Visual odometry and Simultaneous Localization And Mapping (SLAM) has been studied as one of the most important tasks in the areas of computer vision and robotics, to contribute to autonomous navigation and augmented reality systems.
Autonomous Navigation
Simultaneous Localization and Mapping
+1
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation
The main idea is that 1) the data generation method is inherited by imputation method, and 2) the adaptation of imputation encourages measurement policy to learn more than individual learning.
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving
Despite advances in hierarchical reinforcement learning, its applications to path planning in autonomous driving on highways are challenging.
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning
To the best of our knowledge, the proposed method is the first to tackle super-resolution and motion artifact correction simultaneously in the context of MRI using unsupervised learning.
Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments
In this paper, we present novel methods to determine the avatar's position in an indoor space to preserve the semantics of the user's position in a dissimilar indoor space with different space configurations and furniture layouts.
Human-Computer Interaction
