雾天条件下使用自适应多传感器管理的海上态势感知
Maritime situational awareness using adaptive multi-sensor management under hazy conditions
摘要：
本文提出了一种多传感器体系结构与自适应多传感器管理系统，适用于控制和导航的自主海上船舶在朦胧和能见度差的条件。这种架构存在于自主海上船只中。它将来自船上图像传感器和天气传感器的数据与来自其他船只和岸上船只交通监视系统的传感器的AIS数据和天气数据相结合。使用计算智能和数据分析来分析组合数据，以确定合适的行动方案，同时利用历史上学到的知识并从当前情况进行实时学习。预计这种框架在不同的天气条件下都是有用的，并且应该是一个有用的架构，为海上船舶提供自主权。
英文摘要：
This paper presents a multi-sensor architecture with an adaptive multi-sensor management system suitable for control and navigation of autonomous maritime vessels in hazy and poor-visibility conditions. This architecture resides in the autonomous maritime vessels. It augments the data from on-board imaging sensors and weather sensors with the AIS data and weather data from sensors on other vessels and the on-shore vessel traffic surveillance system. The combined data is analyzed using computational intelligence and data analytics to determine suitable course of action while utilizing historically learnt knowledge and performing live learning from the current situation. Such framework is expected to be useful in diverse weather conditions and shall be a useful architecture to provide autonomy to maritime vessels.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
