StanfordASL/Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

语言：Jupyter Notebook · GitHub 星标：833 · Fork：221

话题：autonomous-vehicles · deep-learning · human-robot-interaction · human-trajectory-prediction · nuscenes · spatio-temporal-prediction

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