README.md

Miscellaneous Methods for SCSG

Here're some resources about Miscellaneous Methods for SCSG

Intros:

• This directory contains micellaneous methods for SCSG, especially some optimization-based methods with the collision-avoidance object.

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Collision Avoidance

Collision avoidance testing for autonomous driving systems on complete maps

paper link: here

citation:

@inproceedings{tang2021collision,
  title={Collision avoidance testing for autonomous driving systems on complete maps},
  author={Tang, Yun and Zhou, Yuan and Liu, Yang and Sun, Jun and Wang, Gang},
  booktitle={2021 IEEE Intelligent Vehicles Symposium (IV)},
  pages={179--185},
  year={2021},
  organization={IEEE}
}

Generating avoidable collision scenarios for testing autonomous driving systems

paper link: here

citation:

@inproceedings{calo2020generating,
  title={Generating avoidable collision scenarios for testing autonomous driving systems},
  author={Cal{\`o}, Alessandro and Arcaini, Paolo and Ali, Shaukat and Hauer, Florian and Ishikawa, Fuyuki},
  booktitle={2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST)},
  pages={375--386},
  year={2020},
  organization={IEEE}
}

Automatic generation of safety-critical test scenarios for collision avoidance of road vehicles

paper link: here

citation:

@inproceedings{althoff2018automatic,
  title={Automatic generation of safety-critical test scenarios for collision avoidance of road vehicles},
  author={Althoff, Matthias and Lutz, Sebastian},
  booktitle={2018 IEEE Intelligent Vehicles Symposium (IV)},
  pages={1326--1333},
  year={2018},
  organization={IEEE}
}

Adversarial Generation

Advsim: Generating safety-critical scenarios for self-driving vehicles

paper link: here

citation:

@inproceedings{wang2021advsim,
  title={Advsim: Generating safety-critical scenarios for self-driving vehicles},
  author={Wang, Jingkang and Pun, Ava and Tu, James and Manivasagam, Sivabalan and Sadat, Abbas and Casas, Sergio and Ren, Mengye and Urtasun, Raquel},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9909--9918},
  year={2021}
}

Knowledge-based Methods

Building safer autonomous agents by leveraging risky driving behavior knowledge

paper link: here

citation:

@inproceedings{rana2021building,
  title={Building safer autonomous agents by leveraging risky driving behavior knowledge},
  author={Rana, Ashish and Malhi, Avleen},
  booktitle={2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)},
  pages={1--6},
  year={2021},
  organization={IEEE}
}

Formal scenario-based testing of autonomous vehicles: From simulation to the real world

paper link: here

citation:

@inproceedings{fremont2020formal,
  title={Formal scenario-based testing of autonomous vehicles: From simulation to the real world},
  author={Fremont, Daniel J and Kim, Edward and Pant, Yash Vardhan and Seshia, Sanjit A and Acharya, Atul and Bruso, Xantha and Wells, Paul and Lemke, Steve and Lu, Qiang and Mehta, Shalin},
  booktitle={2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)},
  pages={1--8},
  year={2020},
  organization={IEEE}
}

Ontology based scene creation for the development of automated vehicles

paper link: here

citation:

@inproceedings{bagschik2018ontology,
  title={Ontology based scene creation for the development of automated vehicles},
  author={Bagschik, Gerrit and Menzel, Till and Maurer, Markus},
  booktitle={2018 IEEE Intelligent Vehicles Symposium (IV)},
  pages={1813--1820},
  year={2018},
  organization={IEEE}
}