Estimation and Prediction of Unmanned Aerial Vehicle Trajectories
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AbstractThere is serious concern about the introduction of UAV's into the National Air Space because of their potential to increase the risk of loss of separation (LOS) between aircraft. Many UAV's lack a ``sense and avoid'' (SAA) capability, i.e., they do not possess an adequate means of making the UAV pilot aware of the airspace around the platform, nor do they provide the mechanism for avoiding LOS with other aircraft. This program will address the need for LOS avoidance for UAV's operating in NAS through the development of target state estimation and trajectory prediction algorithms. Numerica proposes a research program that will focus on two critical aspects of SAA algorithms:
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