Navigation system and method with continuously updating ML

A marine vessel management system, comprising:

• at least one processor and memory circuit,
• one or more camera units, and
• one or more radar units,
• wherein the at least one processor comprises an auto-captain module, an object detection training module, and a training data generator;
• wherein the auto-captain module comprises a artificial intelligence (AI) module continuously trainable based on labeled image data and is configured to receive imagery data from said one or more camera units, processing said imagery data to determine data on one or more objects within a selected field of view around said marine vessel;
• wherein the training data generator is configured and operable for receiving input data from said one or more camera units and one or more radar units, said input data comprises at least radar input data indicative of a first field of view and imagery input data indicative a second field of view being at least partially overlapping with said first field of view, processing the radar input data to determine data indicative of one or more reflecting objects within an overlapping portion of said first field of view, determining one or more respective locations within said second field of view where said one or more reflecting objects are identified, and obtaining radar meta-data of said one or more reflecting objects;
• processing said input imagery data said respective locations in an overlapping portion of said second field of view, and determining one or more image data pieces corresponding with one or more sections of said imagery data associated with said one or more reflecting objects, using said radar meta-data for generating label data and generating output data comprising said one or more image data sections and said label data, thereby facilitating connection of said radar meta-data with image data of one or more objects to enable machine learning training for object detection based on said imagery data;
• wherein the object detection training module is configured to receive said output labeled data, and update training of said AI module of said auto-captain module for detecting objects based on said output labeled data, thereby enable continuously updating training of said AI module.

A system for generating labeled training data, the system comprising:

• a processing utility comprising one or more processors, memory unit, and communication module connectable to one or more camera units and one or more radar units;
• the processing utility is configured for receiving input data comprising at least radar input data indicative of a first field of view and imagery input data indicative of a second field of view being at least partially overlapping with said first field of view;
• processing the radar input data to determine data indicative of one or more reflecting objects within an overlapping portion of said first field of view, determining one or more respective locations within said second field of view where said one or more reflecting objects are identified, and obtaining radar meta-data comprising one or more data pieces indicative of radar signature of one or more objects reflecting said radar signal;
• processing said input imagery data said respective locations in an overlapping portion of said second field of view, and determining one or more image data pieces corresponding with one or more sections of said imagery data associated with said one or more reflecting objects, using said radar meta-data for generating label data and generating output data comprising said one or more image data sections and said label data, thereby facilitating connection of said radar meta-data with image data of one or more objects to enable machine learning training for object detection based on said imagery data;
• wherein said processing utility is further configured to provide said output data comprising one or more image data pieces and labeling data for training processing of one or more AI modules to thereby enable continuous training for object detection in said imagery data.