Title :
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
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975574
