| Title |
Image deblurring in roll angle estimation for vision enhanced AAV control |
| Authors |
Gavilan F. , Arahal M.R. , IERARDI, CARMELINA |
| External publication |
Si |
| Means |
IFAC PAPERSONLINE |
| Scope |
Conference Paper |
| Nature |
Científica |
| SJR Quartile |
3 |
| SJR Impact |
0.298 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992530583&doi=10.1016%2fj.ifacol.2015.08.055&partnerID=40&md5=0949972b1499cd99d2795da6880c082d |
| Publication date |
01/01/2015 |
| Scopus Id |
2-s2.0-84992530583 |
| DOI |
10.1016/j.ifacol.2015.08.055 |
| Abstract |
In this paper a vision based sensing system is used to determine the importance of blur in images with regard to the estimation of planes angles. In particular the roll angle is estimated based on the perceived horizon line using gradient image algorithms. The gain in precision due to deblurring is estimated comparing trajectories obtained from on-board sensors with the vision based ones. Images from real experiments using a remote controlled plane are used. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| Keywords |
Remote control; State estimation; Deblurring; Gradient images; Image deblurring; Image sensing; On-board sensors; Roll angle; Vision based; Vision based sensing; Image enhancement |
| Universidad Loyola members |
|
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