Experimental Feasibility Analysis of ROI-Based Hough Transform for Real-Time Line Tracking in Auto-Landing of UAV

Autonomous landing for fixed-wing aircraft is one of issues in smart Unmanned Aerial Vehicles (UAV). In this paper, we present a robust real-time line tracking algorithm for UAV using image processing. In the proposed algorithm, we first reduce computation region, and then transform to Hough space to detect lines in frame. Finally, the line tracking is performed. Experimental model has been designed in MATLAB Simulink environment and evaluated with several landing video clips. We took tolerance boundary test to check robustness. Experimental results indicate this approach is applicable in real uses.