A Kalman Filter is a mathematical algorithm that helps engineers determine the most accurate estimate of a system's state by combining sensor measurements with predictive models. Originally developed for aerospace applications, Kalman Filters are widely used in rockets, satellites, aircraft, and autonomous systems to reduce sensor noise and improve navigation accuracy.