The advent of artificial intelligence and deep learning has provided sophisticated functionality for sensor fusion and object detection and classification which have accelerated the development of highly automated and autonomous ships as well as decision support systems for maritime navigation. It is, however, challenging to assess how the implementation of these systems affects the safety of ship operation. We propose to utilize marine training simulators to conduct controlled, repeated experiments allowing us to compare and assess how functionality for autonomous navigation and decision support affects navigation performance and safety. However, although marine training simulators are realistic to human navigators, it cannot be assumed that the simulators are sufficiently realistic for testing the object detection and classification functionality, and hence this functionality cannot be directly implemented in the simulators. We propose to overcome this challenge by utilizing Cycle-Consistent Adversarial Networks (Cycle-GANs) to transform the simulator data before object detection and classification is performed. Once object detection and classification are completed, the result is transferred back to the simulator environment. Based on this result, decision support functionality with realistic accuracy and robustness can be presented and autonomous ships can make decisions and navigate in the simulator environment.

人工智能和深度学习的到来为传感器融合，对象检测和分类提供了复杂的功能，从而加速了高度自动化和自主的船舶以及海上航行决策支持系统的发展。然而，评估这些系统的实施方式如何影响船舶操作的安全性具有挑战性。我们建议利用海洋训练模拟器进行受控的重复实验，从而使我们能够比较和评估自主导航和决策支持的功能如何影响导航性能和安全性。但是，尽管海洋培训模拟器对于人类导航员来说是现实的，不能假定模拟器对于测试对象检测和分类功能足够真实，因此不能在模拟器中直接实现此功能。我们建议通过使用循环一致性对抗网络（Cycle-GAN）来克服这一挑战，然后在执行对象检测和分类之前对模拟器数据进行转换。一旦完成对象检测和分类，结果就会传回模拟器环境。基于此结果，可以提供具有现实准确性和鲁棒性的决策支持功能，自主舰艇可以在模拟器环境中进行决策和导航。我们建议通过使用循环一致性对抗网络（Cycle-GAN）来克服这一挑战，然后在执行对象检测和分类之前对模拟器数据进行转换。一旦完成对象检测和分类，结果就会传回模拟器环境。基于此结果，可以提供具有现实准确性和鲁棒性的决策支持功能，自主舰艇可以在模拟器环境中进行决策和导航。我们建议通过使用循环一致性对抗网络（Cycle-GAN）来克服这一挑战，然后在执行对象检测和分类之前对模拟器数据进行转换。一旦完成对象检测和分类，结果就会传回模拟器环境。基于此结果，可以提供具有现实准确性和鲁棒性的决策支持功能，自主舰艇可以在模拟器环境中进行决策和导航。