Techniques are disclosed for systems and methods for navigational danger identification and feedback. A navigation system may include one or more navigation sensors coupled to and/or associated with a mobile structure and a logic device. The one or more navigation sensors are configured to provide navigational data associated with the mobile structure. The logic device is configured to receive navigational data from the one or more navigation sensors; determine a virtual model comprising at least one navigational hazard based, at least in part, on the received navigational data; and generate a navigation display view comprising a virtual model view based, at least in part, on the determined virtual model, wherein the virtual model view comprises at least one navigation threat indicator corresponding to the at least one navigational hazard.

Techniques are disclosed for systems and methods to provide visually correlated radar imagery for mobile structures. A visually correlated radar imagery system includes a radar system, an imaging device, and a logic device configured to communicate with the radar system and imaging device. The radar system is adapted to be mounted to a mobile structure, and the imaging device may include an imager position and/or orientation sensor (IPOS). The logic device is configured to determine a horizontal field of view (FOV) of image data captured by the imaging device and to render radar data that is visually or spatially correlated to the image data based, at least in part, on the determined horizontal FOV. Subsequent user input and/or the sonar data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Techniques are disclosed for systems and methods to provide visually correlated radar imagery for mobile structures. A visually correlated radar imagery system includes a radar system, an imaging device, and a logic device configured to communicate with the radar system and imaging device. The radar system is adapted to be mounted to a mobile structure, and the imaging device may include an imager position and/or orientation sensor (IPOS). The logic device is configured to determine a horizontal field of view (FOV) of image data captured by the imaging device and to render radar data that is visually or spatially correlated to the image data based, at least in part, on the determined horizontal FOV. Subsequent user input and/or the sonar data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Presented herein are systems and methods for automatically evaluating detection accuracy of dynamic objects by equipment under test, comprising receiving a first record generated by an evaluated equipment under test and a second record generated by a validated reference equipment both deployed in a vehicle, the first record comprising a plurality of attributes of dynamic object(s) detected by the evaluated equipment and the second record comprising a plurality of attributes of dynamic object(s) detected by the reference equipment, correlating between dynamic object(s) detected by both the evaluated equipment and the reference equipment according to matching spatial and temporal attributes of the dynamic object(s) in the first record and in the second record, analyzing at least some of the attributes of the respective dynamic object in the first record compared to the second record, and outputting an indication of differences identified between the first record and the second record.

A navigation system for a marine vessel incudes one or more proximity sensors, each at a sensor location on the marine vessel and configured to measure proximity of objects in an area surrounding the marine vessel and generate proximity measurements, and a control system configured to receive the proximity measurements measured by the one or more proximity sensors. From the received proximity measurements, four linearly-closest proximity measurements to the marine vessel are identified, including one closest proximity measurement to the marine vessel in each of a positive X direction, a negative X direction, a positive Y direction, and a negative Y direction. A most important object (MIO) dataset is generated identifying the four linearly-closest proximity measurements and propulsion of the marine vessel is controlled based at least in part on the MIO dataset.

The present disclosure relates to methodologies, systems, and devices for monitoring metrics associated with a marine vessel. A marine monitoring system includes a machine type communication (MTC) server; a computing device in communication with the MTC server; a user application residing on the computing device; and a marine electronic device located at a marine vessel. The marine electronic device is in communication with the MTC server, and is configured to connect to one or more wired or wireless marine sensors.

The present disclosure relates to methodologies, systems, and devices for monitoring metrics associated with a marine vessel. A marine monitoring system includes a machine type communication (MTC) server; a computing device in communication with the MTC server; a user application residing on the computing device; and a marine electronic device located at a marine vessel. The marine electronic device is in communication with the MTC server, and is configured to connect to one or more wired or wireless marine sensors.

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a radar assembly mounted to a mobile structure and a coupled logic device. The radar assembly includes an orientation and position sensor (OPS) coupled to or within the radar assembly and configured to provide orientation and position data associated with the radar assembly. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly and orientation and/or position data corresponding to the radar returns from the OPS, determine a target radial speed corresponding to the detected target, and then generate remote sensor image data based on the remote sensor returns and the target radial speed. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

To accurately calculate a location range which a ship is capable of reaching within a prescribed time interval. A signal processing device is configured so as to be equipped with reachable range calculation units 17, 18 which calculate a reachable range, which is the location range a ship is capable of reaching within a prescribed time interval, on the basis of the static information of the ship.

To accurately calculate a location range which a ship is capable of reaching within a prescribed time interval. A signal processing device is configured so as to be equipped with reachable range calculation units 17, 18 which calculate a reachable range, which is the location range a ship is capable of reaching within a prescribed time interval, on the basis of the static information of the ship.