The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Self-localization methods for intelligent mobile robot can be found from literatures. Here, we studied two information fusion methods, namely extended Kalman filter and unscented Kalman filter. They are used to locate the pose of mobile robot that is navigating in the indoor environment. To analyze the performance of the two filters, they were used respectively to fuse the information coming from...
Through much research on unscented Kalman filter based on scaled and square-root algorithm in autonomous navigation, it is known that these algorithms take so much time on calculation. So an improved unscented Kalman filter algorithm is proposed in the paper for autonomous navigation to solve the non-real-time difficulty. Simple scheme is adopted to predigest the choose procedure of sigma-points and...
The shape of planetoid is irregular, and its quality is non-uniform. Moreover, environment of explorers circling round small celestial bodies changes very quickly. In order to improve the orbit precision, an autonomous optical navigation scheme based on unscented Kalman filter and scale invariant feather transform is proposed to determine the circle orbit state in time, in which star sensor and navigation...
This paper presents an integrated vision-based navigation system for small autonomous aircraft. Previously developed sensor fusion algorithms based on the unscented Kalman filter (UKF) are combined with an adaptive receding horizon controller (ARHC) for guidance. Control and planning horizons are computed based on the sensor range and the effective speed of the UAV, which is computed as a weighted...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.