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Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
For the current research, we consider an encoder-decoder based deep ensemble network for capturing both perception and predictive uncertainty simultaneously.
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states.
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