An application of the Kalman filter in automated guided vehicles

Abstract

Abstract The article presents an example of using the Kalman filter in the navigation process of an automated guided vehicles (AGV). Odometry – computational navigation is the basis for determining the location of automated guided vehicles. Many errors affect this method of determining the vehicle’s position. In order to eliminate these errors in modern vehicles, additional systems are used to increase the accuracy of determining the position of the vehicle. In the latest navigation systems, probabilistic methods are applied to adjust the route and the position. The Kalman filters are most commonly used.