Visual Inertial Odometry
Showing 6 of 6 projects
An optimization-based multi-sensor state estimator for accurate self-localization in drones, cars, and AR/VR applications.
An open research-oriented C++ framework for multi-session and multi-robot visual-inertial mapping and localization.
A C++ library for real-time metric-semantic SLAM, building semantically annotated 3D meshes from camera and IMU data.
A robust visual-inertial odometry framework for real-time motion estimation using cameras and IMUs.
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
A lightweight, accurate, and robust monocular visual-inertial odometry system based on a hybrid Multi-State Constraint Kalman Filter.
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