Ship-GAN: Generative modeling based maritime traffic simulator

• Main Authors: BASRUR, Chaithanya, SINGH, Arambam James, SINHA, Arunesh, KUMAR, Akshat
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Generative adversarial networks; Maritime traffic simulation; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6902; https://ink.library.smu.edu.sg/context/sis_research/article/7905/viewcontent/Ship_GAN.pdf
• Institution: Singapore Management University

Modeling vessel movement in a maritime environment is an extremely challenging task given the complex nature of vessel behavior. Several existing multiagent maritime decision making frameworks require access to an accurate traffic simulator. We develop a system using electronic navigation charts to...