This is a project to develop a human trajectory prediction model/method. Inspired by https://github.com/xuehaouwa/SS-LSTM (shtp means standard human trajectory prediction)
We would like to thank the creators of the ETH dataset and the creators of the UCY dataset.
Here is a google collab file to explore: https://colab.research.google.com/drive/1HQgejgDW-bQ4lh8iklCOmB7Q8fzEEOVw?usp=sharing
Or you can run it locally by running these commands:
Download the files
git clone https://github.com/ssocolow/htpm.git
Go into the directory
cd htpm
Make the setup script executable (you may not have to do this step, do if the next step returns a permissions error)
chmod +x setup.sh
Run the setup script
./setup.sh
Train the model
python3 ADI_model.py
These papers lead up to this work https://docs.google.com/document/d/1kWWwZU0jlQkvf-aBQ3mmEMIbwEpNAbTCfJpj0H_DWvU/edit?usp=sharing
"SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction" by Hao Xue, Du Q. Huynh, and Mark Reynolds: https://www.researchgate.net/profile/Du_Huynh/publication/2269555_Self-Calibrating_a_Stereo_Head_An_Error_Analysis_in_the_Neighbourhood_of_Degenerate_Configurations/links/5c03ccb0a6fdcc1b8d502965/Self-Calibrating-a-Stereo-Head-An-Error-Analysis-in-the-Neighbourhood-of-Degenerate-Configurations.pdf
The processed data may be wrong