Research on Obstacle Detection of UAV Based on HSV Color Space

Abstract

In order to improve the ability of the UAV to identify the threatened obstacle in color images accurately, this paper studies an obstacle detection scheme based on visual model. According to the characteristics that brightness has nothing to do with the color information in the HSV color space; a new image segmentation algorithm for HSV space is proposed. Through full integration of the H, S, V component information for a single channel image, integration image will be split with OTSU method. The algorithm is simple to calculate and has a good segmentation effect. The obstacle area extracted by the image segmentation algorithm is marked by using connected component analysis. And finally, through collision detection to find obstacles, which are threatened to UAV flight. Research shows that this program can improve the accuracy of obstacle detection in UAV flight.