Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up

🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles

License

NotificationsYou must be signed in to change notification settings

CommonRoad/commonroad-crime

Repository files navigation

image infoLinuxPyPI version fury.ioPyPI license
PyPI download monthPyPI download week

Toolbox to computeCriticalityMeasures(e.g. time-to-collision, time-to-react,...). Such measurescan be used to trigger warnings and emergency maneuversin driver assistance systems or repair an infeasibletrajectory. If you have questions or want to report problems or suggestions, please start aGithub discussion /Github issue.

Live Demo

🚀 Installation Guide

commonroad-crime can be installed with:

$ pip install commonroad-crime
Develop CriMe locally

For adding new measures, we recommend usingAnaconda to manage your environment so that even if you mess something up, you can always have a safe and clean restart. A guide for managing python environments with Anaconda can be foundhere.

After installing Anaconda, create a new environment with:

$ conda create -n commonroad-py38 python=3.8 -y

Here the name of the environment is calledcommonroad-py38. You may also change this name as you wish. In such case, don't forget to change it in the following commands as well.Always activate this environment before you do anything related:

$ conda activate commonroad-py38or$source activate commonroad-py38

Then, install the dependencies with:

$cd<path-to-this-repo>$ pip install -e.$ conda develop.

To test the installition, run unittest:

$cd tests$ python -m unittest -v

To get started your journey with our criticality measures, check thetutorials and the following tips.

Add new criticality measure
  1. create a new branch withfeature-<measure-name> and checkout the branch
  2. navigate tocommonroad_crime/data_structure/type.py to find the correct category of the measure and add anenumeration entry<abbreviation>: <explanation>
  3. navigate tocommonroad_crime/measure to find the above-mentioned category and create a python file named<abbreviation>.py. Then create a class inheriting theCriMeBase undercommonroad_crime/data_structure/base.py
  4. similar to other measures, you need to implement thecompute() andvisualize() functions
Define configuration parameters of the measure
  1. navigate tocommonroad_crime/data_structure/configuation.py to find the above-mentioned category and add a newinstance to the class asself.<parameter> = config_relevant.<parameter>
  2. you can then directly call the values usingself.configuration.<category>.<parameter> in your measure class
  3. to override the default parameter values, create ayaml file (name it the same as the scenario) in./config_files and modify the values there

🚧 Documentation

The documentation of our toolbox is available on our website:https://cps.pages.gitlab.lrz.de/commonroad/commonroad-criticality-measures/.

Build documentation locallyIn order to generate the documentation via Sphinx locally, run the following commands in the root directory:
$ pip install -r ./docs/requirements_doc.txt$cd docs/sphinx$ make html

The documentation can then be launched by browsing./docs/sphinx/build/html/index.html/.

🌟 Contributors (in alphabetical order by last name)

  • Liguo Chen
  • Marius Erath
  • Yuanfei Lin
  • Sebastian Maierhofer
  • Ivana Peneva
  • Kun Qian
  • Oliver Specht
  • Sicheng Wang
  • Youran Wang
  • Zekun Xing
  • Ziqian Xu

🔖 Citation

If you usecommonroad-crime for academic work, we highly encourage you to cite our paper:

@InProceedings{lin2023crime,      title     = {{CommonRoad-CriMe}: {A} Toolbox for Criticality Measures of Autonomous Vehicles},      author    = {Yuanfei Lin and Matthias Althoff},      booktitle = {Proc. of the IEEE Intell. Veh. Symp.},           pages     = {1-8},       year      = {2023},}

If you use this project's code in industry, we'd love to hear from you as well;feel free to reach out toYuanfei Lin directly.


[8]ページ先頭

©2009-2025 Movatter.jp