Multi-source information fusion augmented reality benefited decision-making for unmanned aerial vehicles: A effective way for accurate operation

Author

Cai, Zhihao ; Chen, Meng ; Yang, Liman

Author_Institution

Inst. of Unmanned Aerial Vehicles, Beihang Univ., Beijing, China

fYear

2011

fDate

21-23 June 2011

Firstpage

174

Lastpage

178

Abstract

Augmented reality UAV multi-source information is obtained by overlaying a variety of other sensors and the database data in the airborne video of CCD sensor. More substantial and credible information display can then be obtained. Our research includes the establishment of binocular stereo camera, improved feature matching algorithm with high matching speed and robustness, pose measurement methods making control operators observation immersion better. The method used for manipulation of augmented reality provides enhanced decision support information to improve the personnel control decision´s speed and accuracy.

Keywords

CCD image sensors; aerospace computing; augmented reality; control engineering computing; decision making; image matching; pose estimation; remotely operated vehicles; sensor fusion; space vehicles; stereo image processing; video signal processing; CCD sensor; UAV; airborne video; augmented reality; binocular stereo camera; decision making; decision support information; feature matching; multisource information fusion; pose measurement; unmanned aerial vehicle; Augmented reality; Cameras; Navigation; Real time systems; Sensors; Target tracking; augmented reality; data fusion; decision-making; unmanned aerial vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on

Conference_Location

Beijing

ISSN

pending

Print_ISBN

978-1-4244-8754-7

Electronic_ISBN

pending

Type

conf

DOI

10.1109/ICIEA.2011.5975574

Filename

5975574