https://github.com/TUMFTM/ScenarioArchitect

The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
https://github.com/TUMFTM/ScenarioArchitect

safety scenario

Last synced: about 1 month ago
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The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.

• Host: GitHub
• URL: https://github.com/TUMFTM/ScenarioArchitect
• Owner: TUMFTM
• License: epl-2.0
• Created: 2020-05-15T08:14:51.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-06-17T23:18:19.000Z (6 months ago)
• Last Synced: 2024-08-04T01:11:25.279Z (5 months ago)
• Topics: safety, scenario
• Language: Python
• Homepage:
• Size: 4.17 MB
• Stars: 34
• Watchers: 5
• Forks: 9
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-robotic-tooling - ScenarioArchitect - The Scenario Architect is a basic python tool to generate, import and export short scene snapshots. (Requirements and Safety)

README

        
# Scenario Architect

![Picture Overview Scenario Architect](docs/source/figures/Overview.png)

The Scenario Architect is a basic python tool to generate, import and export short scene snapshots. These scenarios can 

be used for safety assessment metric evaluations or other benchmarks.

### Documentation

The documentation of the project can be found [here](https://scenarioarchitect.readthedocs.io/).

### People Involved

##### Core Developer

* [Tim Stahl](mailto:[email protected])

##### Acknowledgements

Regina Harrer contributed during her Project Thesis to the calculation of the Time to Collision (TTC) score.

### Contributions

[1] T. Stahl and J. Betz, “An Open-Source Scenario Architect for Autonomous Vehicles,” 

in 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020.\

[(view pre-print)](https://arxiv.org/pdf/2006.09731)

If you find our work useful in your research, please consider citing: 

```

@inproceedings{stahl2020a,

  title = {An Open-Source Scenario Architect for Autonomous Vehicles},

  booktitle = {2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)},

  author = {Stahl, Tim and Betz, Johannes},

  year = {2020}

}

```