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 about a year ago)

Stargazers 679 (1 this week)

Watchers 22 (0 this week)

Forks 191

License mit

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RepositoryStats indexes 609,392 repositories, of these StanfordASL/Trajectron-plus-plus is ranked #73,575 (88th percentile) for total stargazers, and #101,366 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,568/18,095.

StanfordASL/Trajectron-plus-plus is also tagged with popular topics, for these it's ranked: deep-learning (#1,729/8640), autonomous-vehicles (#29/187)

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: 2025-01-31 @ 06:51am, id: 232498508 / R_kgDODdulTA