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

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.