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Success of a cooperative mission entirely depends on precise navigation information of each UAV. Though present day UAVs are equipped with GPS, the UAVs have to rely only on navigation information obtained from inertial navigation system while operating in GPS denied environments. This research work, addresses the problem of establishing a GPS protected wireless MAV network (WIMAN) using three classes...
This paper presents an algorithm for improving navigation performance of an Unmanned Aerial Vehicle (UAV) in GPS-challenging environments, which exploits aiding measurements from one or more cooperative UAVs flying under full GPS coverage. In particular, sensor fusion is based on an Extended Kalman Filter that integrates measurements from onboard inertial sensors and magnetometers, available GPS pseudoranges,...
This paper presents an implementation method for an autonomous take-off and landing with a quadcopter on a stationary platform. The altitude measurement is improved with a Lidar, an inertial unit and a Kalman filter. Equations shown for a take-off and landing path use position and velocity commands. A non linear Backsteping robust control law is used. The entire system is programmed in C/C++ with...
This paper describes vision-based target state estimation approaches for autonomous landing on a moving ground target. The state of moving ground target is estimated by using vision information from a gimbaled camera on an Unmanned Aerial Vehicle (UAV). Using the information from vision system, the UAV estimates the state of a moving target on the ground using the Unscented Kalman Filter (UKF). In...
This paper proposes an autonomous flight control method of quadrotor helicopter using only single Web camera. Recently, great attentions have been paid to the autonomous flight control method of quadrotor helicopter. In the previously proposed methods, for example, GPS, motion capture system and laser range finder are often applied to measure the position and posture of quadrotor helicopter. But,...
Time-domain aircraft system identification is applied to flight test data obtained using a motion capture system. Longitudinal aerodynamic force and moment time histories are obtained using the estimation-before-modeling approach, in which forces and moments are modeled as Gauss-Markov processes and estimated concurrently with the aircraft state histories using an extended Kalman filter. Quasi-steady...
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