UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission

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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Bibliographic Details
Main Authors: Chin E. Lin, Ya-Hsien Lai
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2018/8759836
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spelling doaj-51420eaa3140436e9f4d1ef5b8a121562020-11-24T22:51:33ZengHindawi LimitedInternational 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
collection DOAJ
language English
format Article
sources DOAJ
author Chin E. Lin
Ya-Hsien Lai
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
author_facet Chin E. Lin
Ya-Hsien Lai
author_sort Chin E. Lin
title 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_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_sort uav path prediction for cd&r to manned aircraft in a confined airspace for cooperative mission
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2018-01-01
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.
url http://dx.doi.org/10.1155/2018/8759836
work_keys_str_mv AT chinelin uavpathpredictionforcdrtomannedaircraftinaconfinedairspaceforcooperativemission
AT yahsienlai uavpathpredictionforcdrtomannedaircraftinaconfinedairspaceforcooperativemission
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