Developed a navigation state estimation system by applying sensor fusion across five low-cost IMUs, implementing an Extended Kalman Filter to combine inertial measurements and reduce noise and bias, and then integrating GNSS-based position estimates with the fused IMU data to produce a robust and accurate navigation-state estimate. - View it on GitHub