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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

JCR Quartile

✗

SJR Quartile

✗

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