Automated Scenario Characterization Toolkit.
Project description
ScenarioCharacterization
A generalizable, automated scenario characterization framework for trajectory datasets. Currently, this is a re-implementation of the scenario characterization approach introduced in SafeShift.
Repository: github.com/navarrs/ScenarioCharacterization
This repository currently uses:
- uv as the package manager.
- Hydra for hierarchical configuration management.
- Pydantic for input/output data validation.
Installation
Note: This project is a work in progress.
Install the package
uv pip install scenario-characterization
Install the package in editable mode
Clone the repository and install the package in editable mode:
git clone git@github.com:navarrs/ScenarioCharacterization.git
cd ScenarioCharacterization
uv run pip install -e .
To install with Waymo dependencies (required for running the example), use:
uv run pip install -e ".[waymo]"
Documentation
- Organization: Overview of the Hydra configuration structure.
- Schemas: Guidelines for creating dataset adapters and processors that comply with the required input/output schemas.
- Characterization: Details on supported scenario characterization and visualization tools, and how to use them.
- Example: Step-by-step usage example using the Waymo Open Motion Dataset.
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