MARCOL: A Maritime Collision Avoidance Decision-Making Testbed

Authors

  • Mingi Jeong Dartmouth College
  • Alberto Quattrini Li Dartmouth College

DOI:

https://doi.org/10.1609/aaai.v37i13.27076

Keywords:

Decison-making, Multi-objective Optimization, Collision Avoidance, Autonomous Surface Vehicle

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.

Downloads

Published

2024-07-15

How to Cite

Jeong, M., & Quattrini Li, A. (2024). MARCOL: A Maritime Collision Avoidance Decision-Making Testbed. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16452-16454. https://doi.org/10.1609/aaai.v37i13.27076