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https://github.com/mit-spark/lp2

Long-term Human Trajectory Prediction using 3D DSGs
https://github.com/mit-spark/lp2

dsg human llm long-term motion prediction probabilistic trajectory

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Long-term Human Trajectory Prediction using 3D DSGs

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README

        

![](https://github.com/MIT-SPARK/LP2/blob/main/assets/project_page_title.gif?raw=true "Our method, LP^2, predicts a spatio-temporal distribution over long-term (up to 60 s) human trajectories in complex environments by reasoning about their interactions with the scene, represented as a 3D Dynamic Scene Graph.")

# LP2: Language-based Probabilistic Long-term Prediction
This repository will contain the code for LP2, our approach for Long-term Human Trajectory Prediction using 3D Dynamic Scene Graphs.

> This project was supported by Amazon, Lockheed Martin, and the Swiss National Science Foundation (SNSF).

# Table of Contents
**Credits**
* [Paper](#Paper)
* [Video](#Video)

> **__Note__** The code will be released here shortly.
>
> **Setup**
> * Installation
> * Dataset
>
> **Examples**
> - Running LP2

# Paper
If you find this useful for your research, please consider citing our paper:

* Nicolas Gorlo, Lukas Schmid, and Luca Carlone, "**Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs**", in *ArXiv Preprint*, arXiv:2405.00552, 2024. [ [Preprint](https://arxiv.org/abs/2405.00552) | [Video](https://www.youtube.com/watch?v=mzumT3T0dYw) ]
```bibtex
@misc{Gorlo2024LP2,
title={Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs},
author={Nicolas Gorlo, Lukas Schmid, and Luca Carlone},
year={2024},
eprint={arXiv:2405.00552},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
```
# Video

An overview of our approach is available on [YouTube](https://www.youtube.com/watch?v=mzumT3T0dYw):

[Youtube Video](https://www.youtube.com/watch?v=mzumT3T0dYw)