2019
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points
RA-L 2019
This letter presents a pedestrian motion model that includes both low level trajectory patterns, and high level discrete transitions. The inclusion of both levels creates a more general predictive model, allowing for more meaningful prediction and reasoning about pedestrian trajectories, as compared