Incorporating Noise-Free Pseudo-Measurements into Invariant Kalman Filtering for Improved State Estimation

This paper presents a practical and efficient solution for incorporating equality constraints as noise-free pseudo-measurements into the (extended) Kalman filtering framework, leading to improved state estimation performance.