A navigation device is provided, which may include an acquiring module and a route creating module. The acquiring module may acquire at least a departing location, a destination location and nautical chart information to be used for creating a traveling route for a ship. When a given navigable area is divided into a first navigable area and a second navigable area based on a given condition, the route creating module may create a route being shorter in total distance and taking priority in passing the first navigable area than the second navigable area, based on the departing location, the destination location, and the nautical chart information.

A system for guiding a boat, which includes the boat and a remote server. The boat includes a central unit linked to a user interface, a receiver for receiving data transmitted by at least one electronic tag affixed to a device of the boat and to a radio device for bidirectional communication with the remote server. The central unit transmits information resulting from the data transmitted by the tags, the current position and the route plan of the boat via the radio device to the server, and receives route plan modification data, which are displayed on the user interface, from this server. In this way, the operator of the boat is able to gain knowledge of the movement of nearby craft and of possible collision risks. Further, the boat may include on-board connected objects that communicate with the central unit in order to determine whether devices are missing on board.

A system for guiding a boat, which includes the boat and a remote server. The boat includes a central unit linked to a user interface, a receiver for receiving data transmitted by at least one electronic tag affixed to a device of the boat and to a radio device for bidirectional communication with the remote server. The central unit transmits information resulting from the data transmitted by the tags, the current position and the route plan of the boat via the radio device to the server, and receives route plan modification data, which are displayed on the user interface, from this server. In this way, the operator of the boat is able to gain knowledge of the movement of nearby craft and of possible collision risks. Further, the boat may include on-board connected objects that communicate with the central unit in order to determine whether devices are missing on board.

A boat includes a boat body, a propulsion device, an operator that operates the propulsion device, and a controller. The propulsion device is disposed in the boat body and generates a propulsion force to move the boat body. The controller executes an automatic shore arrival control to control the propulsion device so as to cause the boat body to move toward a target position. The controller ends the automatic shore arrival control when the operator is positioned in a non-neutral position that differs from a neutral position.

A boat includes a boat body, a propulsion device, an operator that operates the propulsion device, and a controller. The propulsion device is disposed in the boat body and generates a propulsion force to move the boat body. The controller executes an automatic shore arrival control to control the propulsion device so as to cause the boat body to move toward a target position. The controller ends the automatic shore arrival control when the operator is positioned in a non-neutral position that differs from a neutral position.

Systems and methods for detection and display of marine objects for an aircraft. One example system includes a transceiver configured to communicate with an Automatic Identification System (AIS) server and an electronic controller located within an aircraft. The electronic controller is configured to provide on a display an interface comprising a map representing a travel area. The electronic controller is configured to provide, on the map, a first graphical representation of the aircraft within the travel area. The electronic controller is configured to receive, via the transceiver, marine object data from the AIS server. The electronic controller is configured to periodically update, on the map, a second graphical representation of a first marine object within the travel area based on the marine object data.

Disclosed is a spatio-temporal DP method based on ship trajectory characteristic point extraction, which belongs to the technical field of ship trajectory compression and includes: Step 1: performing clustering analysis on AIS raw data using a clustering algorithm to identify outliers in the AIS data and then eliminate noise points; Step 2: identifying and retaining the characteristic trajectory points of the ship course change, ship speed change, and the ship entering and exiting from a certain area and the like; Step 3: compressing the AIS data by taking the start and end points of the ship trajectory and the characteristic trajectory points retained in step 2 as the initial points, and considering the spatio-temporal characteristics of the AIS data at the same time. The present disclosure can effectively compress redundant AIS data.

The present specification relates to image capture. More specifically, it relates to selective image capture for sensor carrying devices or floats deployed, for example, on the open sea. In one form, data is generated on the sensor carrying devices or floats by an on-board Inertial Measurement Unit (IMU) and is used to automatically predict the wave motion of the sea. These predictions are then used to determine an acceptable set of motion parameters that are used to trigger the on-board camera(s). The camera(s) then capture images. One consideration is that images captured at or near the peak of a wave crest with minimal pitch and roll will contain fewer obstructions (such as other waves). Such images provide a view further into the horizon to, for example, monitor maritime sea traffic and other phenomenon. Therefore, the likelihood of capturing interesting objects such as ships, boats, garbage, birds, . . . etc. is increased. These images may then be further processed and/or transmitted in a variety of manners.

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 present disclosure discloses a submarine position detection method based on extreme points of gravity gradients. A space rectangular coordinate system is established by taking a centroid of the middle cylindrical portion as a coordinate origin, a direction pointing to a bow is taken as a forward direction of the X axis, a direction pointing to a port is taken as a forward direction of the Y direction, and a vertical upward direction is taken as a forward direction of the Z axis. The detection method includes steps of: determining a horizontal position of a submarine, i.e., coordinates (X, Y), according to a position of a central extreme point and a central position between extreme points of non-diagonal components of a gradient tensor; and determining a functional relation between a depth and the extreme points of gravity gradients by using the submarine model.