Abstract
A compact ego-motion estimation system is required for autonomous control of an unmanned air vehicle whose demand is increasing recently. In this study, we proposed an algorithm that estimates the ego-motion by discriminating optical flow patterns, inspired by insect's visiomotor control system. First, this algorithm calculates the local velocity from images of the surface of the ground by using a motion-detection model inspired by an insect's visual system. Then, the algorithm integrates the local velocity to estimate ego-motion. We tested this algorithm assuming that the vehicle moves horizontally, rotates in yaw and changes its altitude.
