A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.

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.

A method for situation awareness is provided. The method comprises: preparing a neural network trained by a learning set, wherein the learning set includes a plurality of maritime images and maritime information including object type information which includes a first type index for a vessel, a second type index for a water surface and a third type index for a ground surface, and distance level information which includes a first level index indicating that a distance is undefined, a second level index indicating a first distance range and a third level index indicating a second distance range greater than the first distance range; obtaining a target maritime image generated from a camera; and determining a distance of a target vessel based on the distance level index of the maritime information being outputted from the neural network which receives the target maritime image and having the first type index.

The disclosure discloses a strapdown inertial navigation heave measurement method using multiple low-pass filter units, including: firstly, collecting data of a gyroscope and an accelerometer by a system, obtaining attitude information of a carrier by using initial alignment, and then, obtaining a relationship matrix between a body coordinate system and a geographic coordinate system by using the attitude information; obtaining a relationship matrix between the geographic coordinate system and a semi-fixed coordinate system according to a geographic position, and obtaining a rough vertical acceleration by using a direction cosine matrix, output information of the accelerometer and gravity information; then, filtering out low-frequency signals by using a double-filter unit and one integral link to obtain a relatively accurate velocity signal; and furthermore, enabling the vertical acceleration to be subjected to a triple-filter unit and two integral links to obtain an accurate heave displacement. The method avoids the problem of phase lead caused by traditional addition of high-pass filters, and can provide a reference for ship swaying reduction operations, ship carrier lifts, ship-borne weapon launch and heave compensation of various offshore platforms.

Aerodynamic aquatic weed removal and decontamination devices and decontamination methods are disclosed. In an embodiment, the aerodynamic aquatic weed removal and decontamination device includes a boat body and a shore-based device for remotely controlling the boat body. The boat body includes a power unit, a weed removal and decontamination unit, a positioning system, an environment perception system, and a shipborne controller. The power unit includes an engine, a propeller connected to the engine, and a rudder servo motor configured to control a heading of the boat body. The weed removal and decontamination unit includes a mesh conveyor. The positioning system includes a positioner configured to obtain real-time location information and heading information of the boat body. The environment perception system includes a wind sensor and a visual sensor. The shipborne controller is configured to control a navigation state of the boat body.

A vessel analysis device capable of appropriately determining a suspicious vessel is provided. The vessel analysis device (1) includes a pattern generation unit (2), an estimation unit (4), and a determination unit (6). The pattern generation unit (2) generates an intended track pattern representing a track of an intended vessel that is a vessel to be analyzed, from position information on the intended vessel, the position information changing as time proceeds. The estimation unit (4) estimates the navigation state of the intended vessel using the generated track pattern. The determination unit (6) determines whether an intended navigation state that is a navigation state indicated in vessel information originated by the intended vessel is falsified or not by comparing the estimated navigation state with the intended navigation state.

Techniques are disclosed for systems and methods to provide graphical user interfaces for assisted and/or autonomous navigation for mobile structures. A navigation assist system includes a user interface with a display for a mobile structure and a logic device configured to render a docking user interface on the display. The logic device determines a direction and magnitude of a navigational bias associated with navigation of the mobile structure and determines a spatially biased safety perimeter and hazard monitoring area within a monitoring perimeter of a perimeter ranging system mounted to the mobile structure, based on the direction and magnitude of the navigational bias. The docking user interface includes a maneuvering guide with a virtual bumper perimeter intrusion indicator configured to indicate a relative position and/or proximity of a navigation hazard within the spatially biased hazard monitoring area.

A route planning device is provided with a display configured to display a chart on a screen, an operation interface configured to specify a position on the screen, a storage configured to store navigation publication related to a book referred to during past route planning in association with the position, a waypoint setting module configured to set a waypoint on the chart in response to a user's operation received by the operation interface, a navigation publication acquisition module configured to acquire navigation publication within a range of the set waypoint as a reference from the storage, and a display control module configured to display the acquired navigation publication on the screen of the display.

A traveling route generating device is provided, which may include a user interface and processing circuitry. The user interface may receive a home route that is a route on which a ship travels upon departing from a home harbor or upon returning to the home harbor, the home harbor being a location from which the ship departs. The processing circuitry may generate a traveling route between one of a destination of the ship and a current location of the ship, and a location on the home route.

Systems and methods for automatic navigation of a marine environment area are detailed herein. A system for navigating a marine area includes a display, a processor, and a memory including a computer program code. The computer program code, when executed, causes, on the display, presentation of a chart including at least a portion of a body of water; receives an input of at least one condition parameter associated with the desired marine environment; determines a portion of the body of water defined by the at least one condition; and displays the determined portion on the chart. The computer program code further, when executed, determines a traversal coverage corresponding to a watercraft; and determines a route to traverse the determined portion based on the traversal coverage of the watercraft such that an entirety of the determined portion is covered by the determined traversal coverage of the watercraft during the route.