Add to ORKGMany applications exist that exploit Global Positioning System (GPS) as a source of position and velocity data. A main problem of the GPS data is its inconsistency on higher sampling frequencies. The usage of enhanced Kalman Filter usage to fill the gaps between the GPS data samples is presented. The presented Kalman filter is enhanced to contain the velocity data on the output. The output velocity data meet the condition of integration and differentiation between the values of the position and the velocity
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
This innovation in Unmanned Aerial Vehicles (UAV’s) is the most recent one. By definition, navigatio...
Many applications exist that exploit Global Positioning System (GPS) as a source of position and vel...
An algorithm for the flight path reconstruction of state variables and for estimation of unknown con...
The number of GPS-enabled devices are growing rapidly. A large segment of the growth is coupled to t...
The project explores the possibilities on how to improve the accuracy of GPS velocity data by using ...
The filter owes its name to R. E. Kalman at the Institute for Advanced Studies in Baltimore (Kalman,...
The theme of this work is the calibration of air data probes, in particular the calibration of angle...
Includes bibliographical references (page 82)In the early 1960???s Rudolf Emil Kalman published a re...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The filter/smoother combination provides the most accurate means of trajectory reconstruction. Not a...
In this paper, we present a method for device localization based on the fusion of location data from...
Global Navigation Satellite System (GNSS) sensors on-board the space crafts are providing orbit dete...
The paper describes methods of INS/GNSS integration and rules of designing Kalman filters. An exampl...
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
This innovation in Unmanned Aerial Vehicles (UAV’s) is the most recent one. By definition, navigatio...
Many applications exist that exploit Global Positioning System (GPS) as a source of position and vel...
An algorithm for the flight path reconstruction of state variables and for estimation of unknown con...
The number of GPS-enabled devices are growing rapidly. A large segment of the growth is coupled to t...
The project explores the possibilities on how to improve the accuracy of GPS velocity data by using ...
The filter owes its name to R. E. Kalman at the Institute for Advanced Studies in Baltimore (Kalman,...
The theme of this work is the calibration of air data probes, in particular the calibration of angle...
Includes bibliographical references (page 82)In the early 1960???s Rudolf Emil Kalman published a re...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The filter/smoother combination provides the most accurate means of trajectory reconstruction. Not a...
In this paper, we present a method for device localization based on the fusion of location data from...
Global Navigation Satellite System (GNSS) sensors on-board the space crafts are providing orbit dete...
The paper describes methods of INS/GNSS integration and rules of designing Kalman filters. An exampl...
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
Unmanned aerial vehicles (UAVs) are increasingly used in military and scientific research. Some mini...
This innovation in Unmanned Aerial Vehicles (UAV’s) is the most recent one. By definition, navigatio...