30 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.RO2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
Anshul Nayak, Azim Eskandarian, Zachary Doerzaph +1
One of the fundamental challenges in the prediction of dynamic agents is robustness. Usually, most predictions are deterministic estimates of future states which are over-confident…
cs.LG2022★ 30 cited
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation
Anshul Nayak, Azim Eskandarian, Zachary Doerzaph
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help…