https://github.com/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).
https://github.com/StanfordASL/Trajectron-plus-plus
autonomous-vehicles deep-learning human-robot-interaction human-trajectory-prediction nuscenes spatio-temporal-prediction
Last synced: 7 months ago
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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).
- Host: GitHub
- URL: https://github.com/StanfordASL/Trajectron-plus-plus
- Owner: StanfordASL
- License: mit
- Created: 2020-01-08T06:52:34.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-08-17T06:09:35.000Z (about 2 years ago)
- Last Synced: 2025-03-18T16:19:06.042Z (7 months ago)
- Topics: autonomous-vehicles, deep-learning, human-robot-interaction, human-trajectory-prediction, nuscenes, spatio-temporal-prediction
- Language: Jupyter Notebook
- Homepage:
- Size: 137 MB
- Stars: 696
- Watchers: 21
- Forks: 192
- Open Issues: 16
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Metadata Files:
- Readme: README.md
- License: LICENSE