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Safe flyable and energy efficient UAV missions via biologically inspired methods

Platanitis Konstantinos, Kladis Georgios P., Tsourveloudis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/EB9A9FDB-6F4E-4F75-BD1B-0D185A7DB070-
Identifierhttps://doi.org/10.1109/ICUAS48674.2020.9214038-
Identifierhttps://ieeexplore.ieee.org/document/9214038-
Languageen-
Extent10 pagesen
TitleSafe flyable and energy efficient UAV missions via biologically inspired methodsen
CreatorPlatanitis Konstantinosen
CreatorΠλατανιτης Κωνσταντινοςel
CreatorKladis Georgios P.en
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryIn this article the offline Unmanned Aerial Vehicle (UAV) path planning problem is addressed for real environments whilst enhancing energy requirements. In particular, a two-step procedure is adopted for the determination of the energy efficient safe flyable path that satisfies a-priori defined criteria. By the former step, via principles of mechanics, safe flyable candidate paths are designed meeting functional/physical limitations of the aerial vehicle. By the latter step, those paths are fed in the Genetic Algorithm (GA) setup, and the best path that fulfils mission's objectives and satisfies constraints is determined. The efficacy of the approach is shown via simulation examples, where a UAV is deployed to safely navigate with the least energy demand in an a priori known environment whilst meeting mission objectives.en
Type of ItemΔημοσίευση σε Συνέδριοel
Type of ItemConference Publicationen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-12-14-
Date of Publication2020-
SubjectGenetic algorithmsen
SubjectEnergy efficiencyen
SubjectUnmanned aerial vehiclesen
SubjectTrajectoryen
SubjectBiologyen
SubjectThree-dimensional displaysen
Bibliographic CitationK. S. Platanitis, G. P. Kladis and N. C. Tsourveloudis, "Safe flyable and energy efficient UAV missions via biologically inspired methods," 2020 International Conference on Unmanned Aircraft Systems (ICUAS), 2020, pp. 1868-1877, doi: 10.1109/ICUAS48674.2020.9214038.en

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