# StanfordASL/Trajectron-plus-plus

<https://repo.masters-masters.com/en/repos/StanfordASL/Trajectron-plus-plus>

[Home](https://repo.masters-masters.com/en) › [StanfordASL](https://repo.masters-masters.com/en/owners/StanfordASL) › [Trajectron-plus-plus](https://repo.masters-masters.com/en/repos/StanfordASL/Trajectron-plus-plus)

StanfordASL/Trajectron-plus-plus has 836 stars on GitHub. Its RepoMasters card: Beta tier. Code accompanying the ECCV 2020 paper "Trajectron++…

| Field | Value |
| --- | --- |
| Owner | [StanfordASL](https://repo.masters-masters.com/en/owners/StanfordASL) |
| Stars | 836 |
| Forks | 221 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | deep-learning, human-robot-interaction, human-trajectory-prediction, autonomous-vehicles, nuscenes, spatio-temporal-prediction |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [StanfordASL/Trajectron-plus-plus](https://github.com/StanfordASL/Trajectron-plus-plus) |

## Repository

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).

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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