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Automated Scenario Characterization Toolkit.

Project description

WIP 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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