Algorithms for UAV localization with Scene Matching

This article addresses the issue of unmanned aerial vehicle (UAV) navigation and the application of artificial intelligence (AI) to overcome current challenges. It reviews the historical use of control systems for ballistic and cruise missiles dating back to the 1940s. The shortcomings of existing control systems that rely on inertial systems and the challenges faced in aerial conflict scenarios are identified. The main stages of the navigation process, particularly through image comparison, are outlined. An analysis of existing image comparison methods for navigation purposes using various systems is presented, detailing their advantages and disadvantages and examining the mathematical models underlying these processes. The paper proposes solutions to the challenges faced by existing UAV control methods, specifically by utilizing a sliding window approach to reduce required resources and shorten decision-making time for real-time flight navigation through AI integration