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.
The motivation of INS/GPS integration is to develop a navigation system that overcomes the shortcomings of each system. Its implementation is essentially based on the filter techniques and error models of INS. If the model changes with the environment, the estimation accuracy is degraded. In this paper, an Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) method was proposed to jointly...
In autonomous navigation systems, localization is the most important problem to be solved. In this note, we propose the algorithm to localize an unmanned ground vehicle (UGV) equipped with a global positioning system (GPS), an odometer and an electronic compass. The proposed scheme is based on the unscented Kalman filter (UKF). To improve the accuracy and robustness, the novel noise model of data...
Pose estimation is one of the most important part of guidance systems in unmanned vehicles. In this paper, we consider the problem of pose estimation of unmanned ground vehicle (UGV) equipped with a global positioning system (GPS), an odometer and an electronic compass. The unscented Kalman filter (UKF) is used to fuse the information from those sensors. To improve the accuracy and robustness, we...
Technological advances in both GPS and low cost micro-electro mechanical system (MEMS)-based inertial sensors enabled monitoring the location of moving platforms for numerous positioning and navigation (POS/NAV) applications. When miniaturized inside any moving platforms, MEMS-based inertial navigation system (INS) can be integrated with GPS and enhance the performance in denied GPS environments (like...
The estimation of a vehiclepsilas dynamic state is one of the most fundamental data fusion tasks for intelligent traffic applications. For that, motion models are applied in order to increase the accuracy and robustness of the estimation. This paper surveys numerous (especially curvilinear) models and compares their performance using a tracking tasks which includes the fusion of GPS and odometry data...
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.