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UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-01
Country of Publication
Egypt
No. of Pages
9
Abstract EN
In this paper, a new path prediction approach for unmanned aerial vehicles (UAVs) for conflict detection and resolution (CD&R) to manned aircraft in cooperative mission in a confined airspace is proposed.
Path prediction algorithm is established to estimate UAV flight trajectory to predict conflict threat to manned aircraft in time advances (front-end process of CD&R system).
A hybrid fusion model is formulated based on three different trajectory prediction conditions considering scenarios in geographical conditions to aid the generation of appropriate resolution advisory of conflict alert.
It offers a more precise CD&R system for manned and unmanned aircraft in cooperative rescue missions.
American Psychological Association (APA)
Lin, Chin E.& Lai, Ya-Hsien. 2018. UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission. International Journal of Aerospace Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1167891
Modern Language Association (MLA)
Lin, Chin E.& Lai, Ya-Hsien. UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission. International Journal of Aerospace Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1167891
American Medical Association (AMA)
Lin, Chin E.& Lai, Ya-Hsien. UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission. International Journal of Aerospace Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1167891
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1167891