UAV path prediction for CD & R to manned aircraft in a confined airspace for cooperative mission

Chin E. Lin, Ya Hsien Lai

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number8759836
JournalInternational Journal of Aerospace Engineering
Volume2018
DOIs
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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