rednose
Discover a framework tailored for visual odometry and sensor fusion localization with advanced Kalman filter techniques, including symbolic Jacobian computations, error state filters for 3D orientation, and Multi-State Constraint Kalman Filters. The library also offers RTS smoothing for offline estimation and a Mahalanobis distance-based outlier rejection to improve measurement accuracy, featuring a straightforward Python implementation.
