UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission
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 confl...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/8759836 |
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author | Chin E. Lin Ya-Hsien Lai |
author_facet | Chin E. Lin Ya-Hsien Lai |
author_sort | Chin E. Lin |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-51420eaa3140436e9f4d1ef5b8a12156 |
institution | Kabale University |
issn | 1687-5966 1687-5974 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Aerospace Engineering |
spelling | doaj-art-51420eaa3140436e9f4d1ef5b8a121562025-02-03T05:46:10ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/87598368759836UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative MissionChin E. Lin0Ya-Hsien Lai1Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanDepartment of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, TaiwanIn 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.http://dx.doi.org/10.1155/2018/8759836 |
spellingShingle | Chin E. Lin Ya-Hsien Lai UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission International Journal of Aerospace Engineering |
title | UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission |
title_full | UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission |
title_fullStr | UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission |
title_full_unstemmed | UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission |
title_short | UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission |
title_sort | uav path prediction for cd r to manned aircraft in a confined airspace for cooperative mission |
url | http://dx.doi.org/10.1155/2018/8759836 |
work_keys_str_mv | AT chinelin uavpathpredictionforcdrtomannedaircraftinaconfinedairspaceforcooperativemission AT yahsienlai uavpathpredictionforcdrtomannedaircraftinaconfinedairspaceforcooperativemission |