Building an object tracking algorithm based on image processing for UAV quadrotor
16 viewsDOI:
https://doi.org/10.54939/1859-1043.j.mst.FEE.2024.65-71Keywords:
Drones; Quadrotors; Deep learning networks.Abstract
The paper presents the results of algorithm construction and the experimental control of object tracking based on image processing for quadrotor UAV using a dynamic model of quadrotor UAV, deep learning model and optimized for hardware system. The hardware system uses a depth camera, embedded computer to collect image data, object distance information and calculate, process to give control signals to the motors through the flight controller to ensure tracking and maintain distance between UAV and object. The results achieved in the paper can evaluate the ability to respond in real time to the problem of object tracking using image processing with hardware with limited resources.
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