A neural network system for auto-capture and target tracking of an FPV drone with autonomous feedback

Abstract

This paper presents the concept of a neural network-based FPV drone target acquisition system. After the target is confirmed by the operator, the drone uses feedback from the neural network to continuously adjust its trajectory and follow the target. Detection, tracking, and feedback algorithms are considered to ensure high accuracy and reliability of the system in real time.