BetaRare
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).
- Owner
- StanfordASL (organization)
- Stars
- Stars: 835
- Forks
- Forks: 221
- Language
- Jupyter Notebook
- License
- MIT
- Created
- 2020
- Topics
- deep-learninghuman-robot-interactionhuman-trajectory-predictionautonomous-vehiclesnuscenesspatio-temporal-prediction
- Tier
- Beta (700 to 1,999 ★) What this tier means
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