A seagoing vessel management system and method are described that includes receiving input data including at least radar input data indicative of a first field of view and image input data indicative of a second field of view that at least partially overlaps the first field of view. Radar input data is processed to determine data indicative of one or more reflective objects within an overlapping portion of the first field of view. Determining one or more respective positions within the second field of view identifying the one or more reflective objects, and obtaining radar metadata of the one or more reflective objects; the input image data at the respective positions in the overlapping portion of the second field of view is processed. One or more pieces of image data corresponding to one or more sections of the image data associated with the one or more reflective objects are determined. Tag data is generated using the radar metadata, and output data including the one or more image data segments and the tag data is generated. Therefore, connection between the radar metadata and image data of one or more objects is facilitated, and object detection machine learning training based on the image data is realized.
描述了一种海船管理系统和方法,包括:接收输入数据,该输入数据至少包括指示第一视野的雷达输入数据和指示与所述第一视野至少部分重叠的第二视野的图像输入数据。处理雷达输入数据,以确定指示所述第一视野的重叠部分内的一个或多个反射物体的数据。确定所述第二视野内的标识出所述一个或多个反射物体的一个或多个相应位置,并且获得所述一个或多个反射物体的雷达元数据;处理所述第二视野的重叠部分中的所述相应位置的所述输入图像数据。确定对应于与所述一个或多个反射物体相关联的所述图像数据的一个或多个区段的一个或多个图像数据片段。使用所述雷达元数据来生成标记数据,并且生成包括所述一个或多个图像数据区段和所述标记数据的输出数据。从而促进所述雷达元数据与一个或多个物体的图像数据的连接,以实现基于所述图像数据的物体检测机器学习训练。
Navigation system and method for continuously updating ML
持续更新ML的导航系统和方法
2024-06-07
Patent
Electronic Resource
Chinese
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