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TP3M: Transformer-based Pseudo 3D Image Matching with Reference
Image matching is still challenging in such scenes with large viewpoints or illumination changes or with low textures.
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
This paper presents an self-supervised deep learning network for monocular visual inertial odometry (named DeepVIO).
A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics.
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