Autonomous Target Tracking Control Method for Quadrotors Using Artificial Intelligence

Abstract

Tracking moving targets is an attractive application for quadcopters and is a complex area of research due to the aerodynamics of quadcopters and the rate of change of the moving target over time. In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention.. control in unmanned flights. Controlling the quadcopter using this method helped the tracking system maintain stability in the simulated environment and achieve positive control parameters in real-world settings.