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 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.


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  • Accession Number: 01670423
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 26 2018 2:42PM