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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zsedrovits, Tamas Bauer, Peter Hiba, Antal Nemeth, Mate Jani Matyasne Pencz, Borbala Zarandy, Akos Vanek, Bálint Bokor, József |
| Copyright Year | 2016 |
| Abstract | In this paper the possibility to use the camera of the onboard sense and avoid system as an aid in unmanned aircraft attitude estimation is examined. At first, the error analysis of four image processing algorithms targeting the reconstruction of camera orientation change is done. Camera spatial resolution, sampling frequency (temporal resolution), pixelization errors and image noises are all considered in the error analysis. After performing the error analysis, the camera rotation estimates from the two best algorithms are integrated into an IMU (inertial measurement unit)-GPS attitude estimator to obtain a Camera-IMU-GPS estimator. The attitude estimation results of the two algorithms are compared to each other considering hardware-in-the-loop simulated ’flight data’ and simulated camera images. After experiencing estimation error decrease with the augmented Camera-IMU-GPS algorithm a final proof of concept was conducted based-on real flight data. Off-line calculated IMU-GPS and Camera-IMU-GPS estimates were compared to the estimates of the onboard AHRS (attitude heading reference system) algorithm of the test aircraft. Estimation of errors relative to true orientation is done through the visualization of horizon line (obtained from the estimated Euler angles) in the camera image. This shows possible improvement in the precision by applying the Camera-IMU-GPS algorithm, but the considered very short (about 17sec) flight data section makes only the proof of concept possible. Final decision between the algorithms should be made considering long flight test results during the future development. |
| Starting Page | 759 |
| Ending Page | 777 |
| Page Count | 19 |
| File Format | |
| ISSN | 09210296 |
| Journal | Journal of Intelligent & Robotic Systems |
| Volume Number | 84 |
| Issue Number | 1-4 |
| e-ISSN | 15730409 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2016-05-25 |
| Publisher Place | Dordrecht |
| Access Restriction | Subscribed |
| Subject Keyword | UAS UAV Sensor fusion IMU GPS Camera Attitude estimation Control, Robotics, Mechatronics Electrical Engineering Artificial Intelligence (incl. Robotics) Mechanical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Artificial Intelligence Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Software |
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