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OPENVINS
Open visual-inertial odometry platform for research and robotics
GPL-3.0
ABOUT
Visual-inertial odometry papers need a documented, tunable filter rather than a black-box binary. OpenVINS provides a sliding-window MSCKF-style estimator, simulation, and eval scripts so teams run, compare, and extend camera-IMU odometry with published baselines.
INTEGRATION GUIDE
1. Run stereo or monocular VIO on a robot with a calibrated IMU
2. Benchmark visual-inertial estimators against OpenVINS on public datasets
3. Simulate camera-IMU trajectories before hardware experiments
4. Extend the filter with custom features or GNSS fusion for research
TAGS
c++roboticsvioslamimucameralocalizationresearch