An Authentic Dataset for Visual-Inertial Odometry
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Updated
Jun 6, 2019 - Python
An Authentic Dataset for Visual-Inertial Odometry
Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022
PRCV 2022: The FusionPortable-VSLAM Challenge
Deep Learning for Visual-Inertial Odometry
A fully-annotated, open-design dataset of autonomous and piloted high-speed flight
OAK-D + SLAM + AprilTags for localization in FRC
This application uses homography matrix, extracted from consecutive frames of a monocular camera, and fuses this data with input from an inertial measurement unit (IMU). This fusion is employed to accurately estimate positional changes.
Design and development of a visual inertial odometry system with moving target tracking approach for autonomous robots
Implementation of Simultaneous Localization And Mapping(SLAM) with Visual Odometry.
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