dc.creator | Milić, Milica | |
dc.creator | Svorcan, Jelena | |
dc.date.accessioned | 2023-02-09T19:06:32Z | |
dc.date.available | 2023-02-09T19:06:32Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-86-6060-127-0 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/4265 | |
dc.description.abstract | Advancements in using technology of unmanned aerial systems have made UAVs easier to
operate, more affordable, and capable of performing a broader range of tasks.This has led to a
large expansion of UAV applications in society, which has led to a large expansion of their
applications. However, the main challenge is still to determine the precise location where the
UAV would collect the desired data during an autonomous flight. This type of problem often
occurs when the purpose of an unmanned aerial vehicle is to perform tasks that require high
precision in measurements and when the UAV is not in optical sight. High-precision Global
Navigation Satellite System (GNSS) sensors can be used to solve this problem, but this adds
significant cost and operational complexity to the operation of a UAV. Also, these sensors
cannot be used in urban areas, industrial zones or indoors because the signals become
unreliable. By using RTK (real-time kinematic) GPS, sufficient precision is achieved for the
reconstruction of the aircraft trajectory. This network operates on the principle of a base station,
whose location is precisely determined, while the UAV is a moving body, so it is possible
between these two objects to correct or remove errors that either one of them would observe
themselves. The objective of this paper is to produce localization of a moving UAV, and 3D
visualization its trajectory, using a telemetry data as well as error estimation. | sr |
dc.language.iso | en | sr |
dc.publisher | University of Belgrade, Faculty of Mechanical Engineering | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Booklet of Abstracts - 1st International Conference on Mathematical Modelling in Mechanics and Engineering | sr |
dc.subject | Trajectory | sr |
dc.subject | UAV | sr |
dc.subject | flight measurements | sr |
dc.title | Unmanned aerial vehicle trajectory visualization and reconstruction using the changes in significant variables over time | sr |
dc.type | conferenceObject | sr |
dc.rights.license | BY | sr |
dc.citation.rank | M34 | |
dc.citation.spage | 112 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/10015/bitstream_10015.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_4265 | |
dc.type.version | publishedVersion | sr |