What is state estimation localization?

State estimation localization is the process of determining the position and orientation (state) of a robot or autonomous system within its environment, often in real time. This process uses data from various sensors, such as GPS, cameras, IMUs, and lidars, and combines them through algorithms like Kalman filters or particle filters to estimate the most probable location. Accurate state estimation is essential for navigation, mapping, and decision-making in robotics and autonomous vehicles. It often involves dealing with uncertainties and sensor errors to provide a reliable estimate of the system’s state.