Assessing the Performance of the Algorithm for Positioning an Unmanned Aerial Vehicle Relative to a Moving Platform Using the Computer Vision

A method for determining the angular position of an unmanned aircraft-type or helicopter-type aerial vehicle relative to a sea-based landing platform with special optical marks, is considered. The measurement accuracy is assessed depending on the distance to the landing platform using a specially developed optical system based on a digital video camera and a combination of groups of optical marks of different geometric sizes on the landing platform, which are made in the form of a monochrome square and a triangle with different side sizes. An assessment is made of the possibility of calculating the angular position, altitude, and distance to the landing platform in real time mode based on processing the image from an onboard optical camera. Computational experiments conducted to simulate the position of the vehicle relative to a moving landing platform demonstrate the high efficiency of the method being proposed.