MIT-SPARK/LP2
Long-term Human Trajectory Prediction using 3D DSGs
This project helps predict where people will move in complex 3D spaces, up to a minute into the future. It takes in 3D environment data and current human positions, then outputs likely future paths for those individuals. Robotics engineers, autonomous vehicle developers, or smart building designers could use this to anticipate human actions.
No commits in the last 6 months.
Use this if you need to understand and predict human movement patterns in dynamic 3D environments over extended periods.
Not ideal if you are looking for short-term, instantaneous human motion prediction or if you don't have detailed 3D scene graph data.
Stars
43
Forks
7
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 07, 2025
Commits (30d)
0
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