MARCOL: A Maritime Collision Avoidance Decision-Making Testbed

Abstract

Safe and efficient maritime navigation is fundamental for autonomous surface vehicles to support many applications in the blue economy, including cargo transportation that covers 90% of the global marine industry. We developed MARCOL, a collision avoidance decision-making framework that provides safe, efficient, and explainable collision avoidance strategies and that allows for repeated experiments under diverse high-traffic scenarios.

Cite

Text

Jeong and Li. "MARCOL: A Maritime Collision Avoidance Decision-Making Testbed." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.27076

Markdown

[Jeong and Li. "MARCOL: A Maritime Collision Avoidance Decision-Making Testbed." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/jeong2023aaai-marcol/) doi:10.1609/AAAI.V37I13.27076

BibTeX

@inproceedings{jeong2023aaai-marcol,
  title     = {{MARCOL: A Maritime Collision Avoidance Decision-Making Testbed}},
  author    = {Jeong, Mingi and Li, Alberto Quattrini},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16452-16454},
  doi       = {10.1609/AAAI.V37I13.27076},
  url       = {https://mlanthology.org/aaai/2023/jeong2023aaai-marcol/}
}