A Social-GAN-style LSTM generator predicts UAS landing trajectories and beats a Gaussian Mixture Regression baseline on real drone data, though the advantage disappears on simulated data beyond four steps.
Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments,
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Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
A Social-GAN-style LSTM generator predicts UAS landing trajectories and beats a Gaussian Mixture Regression baseline on real drone data, though the advantage disappears on simulated data beyond four steps.