commonroad-geometric is a Python framework that facilitates deep-learning based research projects in the autonomous driving domain, e.g. related to behavior planning and state representation learning.
At its core, it provides a standardized interface for heterogeneous graph representations of traffic scenes using the PyTorch Geometric framework.
This repo is based on commonroad-geometric. To test it, install commonroad geometric and put this repo in tutorial folder to match the path.
The installation script scripts/create-dev-environment.sh installs the commonroad-geometric package and all its dependencies into a conda environment:
Execute the script inside the directory which you want to use for your development environment.
Note: make sure that the CUDA versions are compatible with your setup.
A simple demo of graph representation:
