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

Last synced: 2 months ago
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Long-term Human Trajectory Prediction using 3D DSGs

• Host: GitHub
• URL: https://github.com/mit-spark/lp2
• Owner: MIT-SPARK
• License: bsd-3-clause
• Created: 2024-04-24T14:37:34.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-05T21:04:55.000Z (8 months ago)
• Last Synced: 2024-10-10T10:43:43.653Z (2 months ago)
• Topics: dsg, human, llm, long-term, motion, prediction, probabilistic, trajectory
• Homepage:
• Size: 20.4 MB
• Stars: 16
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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):

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