A set of MATLAB routines that estimate a UAV's position and orientation using sensor measurements.
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 3 Jul 2013 | vishal | 5 |
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| 18 May 2013 | mostafa mohamed |
we need the simulink model |
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| 21 May 2013 | Jeff Barton |
SUAS Code is a set of heavily commented MATLABĀ® routines that provide example methods for performing state estimation (i.e. position and orientation) of a fixed-wing UAV (Unmanned Aerial Vehicle) using GPS, gyros, accelerometers, and a magnetometer as sensors. The code is meant as a companion to the JHU/APL Technical Digest article "Fundamentals of Small Unmanned Aircraft Flight". SUAS Code provides state estimation examples using both feedback control methods and Extended Kalman Filter (EKF) methods. May 21, 2013 Update:
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| Tag | Applied By | Date/Time |
|---|---|---|
| we need simulink model | vishal | 3 Jul 2013 at 10:01am |
| kalman | Berahma | 17 Jun 2013 at 1:43am |
| we need simulink model | mostafa mohamed | 18 May 2013 at 5:57pm |
| attitude | Jeff Barton | 2 Nov 2012 at 4:46pm |
| academic | Jeff Barton | 2 Nov 2012 at 4:46pm |
| flight | Jeff Barton | 2 Nov 2012 at 4:46pm |
| inertial navigation | Jeff Barton | 2 Nov 2012 at 4:46pm |
| orientation | Jeff Barton | 2 Nov 2012 at 4:46pm |
| state estimation | Jeff Barton | 2 Nov 2012 at 4:46pm |
| kalman | Jeff Barton | 2 Nov 2012 at 4:46pm |
| ekf | Jeff Barton | 2 Nov 2012 at 4:46pm |
| uas | Jeff Barton | 2 Nov 2012 at 4:46pm |
| uav | Jeff Barton | 2 Nov 2012 at 4:46pm |
| aerospace | Jeff Barton | 2 Nov 2012 at 4:46pm |