Setting the Flight Parameters of an Unmanned Aircraft for Distress Detection on the Concrete Runway

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00557207" target="_blank" >RIV/60162694:G43__/26:00557207 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9502737" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9502737</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT52455.2021.9502831" target="_blank" >10.1109/ICMT52455.2021.9502831</a>

Result language

angličtina

Original language name

Setting the Flight Parameters of an Unmanned Aircraft for Distress Detection on the Concrete Runway

Original language description

The airport pavement is annually inspected by a visual survey for the presence of distress to keep a high level of safe air traffic. The basic airport pavement distress is a crack, whose main criterion for evaluation is its width. In relation to air traffic safety, the cracks are divided into small, medium, or large categories according to the severity. A modern way of conduction of airport pavement inspection is the use of unmanned aircraft. This article explores the effect of unmanned aircraft flight parameter settings to recognize the distress on the concrete runway. The image data were obtained from the flights at several altitudes above the runway of a former military airport and processed using commercial multi-view reconstruction software. The output orthomosaic images were evaluated according to pixel resolution, ground sampling distance, and ground resolved distance. The correlation between the variables was statistically analyzed using linear and polynomial regression. The low flight altitudes bring a higher level of captured detail, but only the small area is captured, and more data needs to be processed, whereas higher flight altitudes cover a larger area with less data, but the captured detail is getting low. The findings reveal in order to capture the required detail; it is necessary to divide the length of the runway into individual legs, which allows the flight in lower altitudes above ground level. For the used unmanned aircraft, a balance between the flight altitude and the captured detail corresponding to the flight time per battery has been found. The captured data will be further used to create a database of individual distress for deep learning.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20304 - Aerospace engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2021 8th International Conference on Military Technologies, ICMT 2021 - Proceedings

ISBN

978-1-6654-3724-0

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

320-327

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Brno

Event location

Brno, the Czech Republic

Event date

Jun 8, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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