Vision-based Extraction of Flight Parameters for Micro Air Vehicles

摘要

A robust, vision-based flight parameter extraction algorithm was proposed as the first step towards MAV autonomic flight. The algorithm uses the image processing and analyzing methods, combining the optical and algebra theories. A compensation algorithm is put forward considering the flight attitude of the MAV. The algorithm provide in this paper has been demonstrated at 10Hz. The designed ground experiment and flight experiment show the effectiveness of the proposed parameter extraction algorithm.