Transferable Pedestrian Motion Prediction Models at Intersections

15 Mar 2018 Macheng Shen Golnaz Habibi Jonathan P. How

One desirable capability of autonomous cars is to accurately predict the pedestrian motion near intersections for safe and efficient trajectory planning. We are interested in developing transfer learning algorithms that can be trained on the pedestrian trajectories collected at one intersection and yet still provide accurate predictions of the trajectories at another, previously unseen intersection... (read more)

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