Observability analysis and keyframe-based filtering for visual inertial odometry with full self-calibration

It is proved that full self-calibration of a visual inertial system is weakly observable under general motion;

Also keyframe-based filtering effectively deals with low-parallax.

Related projects:

• Visual-inertial odometry in low-parallax scenarios with automated inertial noise identification