Hussein A. Abdulkadhim,
University of Diyala – College of Engineering, Diyala, Iraq
DOI: 10.36724/2664-066X-2023-9-5-42-46
SYNCHROINFO JOURNAL. Volume 9, Number 5 (2023). P. 42-46.
Abstract
Modern image processing techniques play an important role in solving this problem. One of the elements for control and navigation of unmanned aerial vehicles is trajectory estimation. This is seen as an important task for identifying the location of the device and objects in the environment depending on the distance between them, as well as with the help of modern consumer devices that allow image recording. Systems that provide navigation accompaniment are consists of hardware and software. The complexity of the hardware varies from very simple options. Typically, software is developed and used for a specific hardware platform. This article contains a description of the programming environment in which the modeling and evaluation of the effectiveness of algorithms were carried out, which proposes to improve the accuracy of the control system, based on image processing of the surrounding area.
Keywords: Unmanned aerial vehicles, trajectory estimation, image processing, Microsoft Kinect rangefinder, single board computer
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