A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data
Benjamin Fraser,
Adolfo Perrusquía,
Dimitrios Panagiotakopoulos
et al.
Abstract:The intent prediction of unmanned aerial vehicles (UAVs) also known as drones is a challenging task due to the different mission profiles and tasks that the drone can perform. To alleviate this issue, this paper proposes a deep mixture of experts network to classify and predict drones trajectories measured from non-cooperative radars. Telemetry data of openaccess datasets are converted to simulated radar tracks to generate a pool of heterogeneous trajectories and construct three independent datasets to train, … Show more
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