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).

Date Created 2020-01-08 (5 years ago)

Commits 19 (last one 2 years ago)

Stargazers 698 (1 this week)

Watchers 21 (0 this week)

Forks 193

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RepositoryStats indexes 631,885 repositories, of these StanfordASL/Trajectron-plus-plus is ranked #73,529 (88th percentile) for total stargazers, and #103,457 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,591/19,028.

StanfordASL/Trajectron-plus-plus is also tagged with popular topics, for these it's ranked: deep-learning (#1,724/8803), autonomous-vehicles (#31/195)

Other Information

StanfordASL/Trajectron-plus-plus has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 13 open issues and 79 closed issues.

All Topics

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

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3 commits on the default branch (master) since jan '22

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updated: 2025-03-24 @ 05:18pm, id: 232498508 / R_kgDODdulTA