The invention relates to a swimming pool cleaning system comprising a cleaning apparatus to be immersed in the pool, the system further comprising at least one moving image acquisition means secured to a float via a flexible tie.

The present disclosure provides a cleaning method for the water surface of swimming pools and cleaning robot, the cleaning robot comprising a cleaning robot body, a sonar arranged around the cleaning robot body, two rear thrusters located at the tail of cleaning robot body. According to the present disclosure, as long as the cleaning robot body is placed on the water surface of the pool, cleaning robot body floating on the surface of the pool may automatically move and steer, so as to ensure that it can turn in advance before encountering the pool wall and won't knock against the pool wall, reduce the probability of malfunction and damaging of cleaning robot body, and the cleaning robot body can cover the entire water surface of pool and the pool wall, there is no omitting of cleaned water surface, and there is no need for excessive human involvement, it makes it easy for cleaning staffs to clean, when the cleaning robot body cleans the water surface of the pool, the cleaning staffs can carry out other cleaning work, which improved the cleaning efficiency of the cleaning staffs.

Apparatus and computer-implemented method for autonomous marine vessel docking, the method including determining a transit control mode associated with route plan data defining transit operation between ports; determining an autonomous docking control mode associated with harbor track data including a set of waypoint properties and defining approach zone information and track segments joined at waypoints. Method further includes determining vessel location, speed and heading; comparing the vessel location, speed and heading to the approach zone information and changing from the transit control mode to the autonomous docking control mode in response to: the vessel location included by the location area information; the vessel speed being lower than the maximum vessel speed for entering the approach zone; and the vessel heading matching criteria defined by the maximum heading deviation for entering the approach zone.

A posture control system for a hull, and a marine vessel including the posture control system, allows crew members to fish more comfortably and includes a posture control tab attached to a stern of the hull to control a posture of the hull, a driver to drive the posture control tab, and a controller to control the driver. When it is determined that the hull has changed to a fishing mode, the controller causes the driver to raise the posture control tab to a predetermined position.

The present invention relates to an underwater drone which is an unmanned mobile which can move in the water, and more particularly to a communication system for the underwater drone which performs communication between the underwater drone and a land-based controller (or maneuvering device). The present invention also relates to an airlock apparatus for the drone which transfers the drone into or from facilities or containers, or equipment sealed (or closed) against surrounding environment. The communication system for an underwater drone includes an underwater drone (1) configured to move in the water, at least one transmitting and receiving antenna (2) provided in an area where the transmitting and receiving antenna (2) can communicate with the underwater drone (1) by wireless communication, and a controller or a maneuvering device (5) connected to the at least one transmitting and receiving antenna (2) by a wired cable (4) and configured to control the underwater drone (1).

Disclosed is a dynamic collision avoidance method for an unmanned surface vessel based on route replanning. The method comprises the following steps: acquiring navigation information and pose information of a neighboring ship of an unmanned vessel itself via a vessel-borne sensor; constructing a collision cone between the unmanned vessel and the neighboring ship; introducing a degree of uncertainty with respect to observing movement information of the neighboring ship and applying a layer of soft constraint to the collision cone; applying a speed and a heading limit range of the unmanned vessel; acquiring an ultimate candidate speed set; introducing a cost function to select an optimum collision avoidance speed; and performing an internal recycle of navigation simulation with the optimum collision avoidance speed to obtain a route replanning point for dynamic collision avoidance of the unmanned vessel. According to the present invention, a dynamic collision avoidance strategy of the unmanned surface vessel is output in form of route replanning to meet constraints of international regulations for preventing collisions at sea, and it is well adapted to manipulate and control the unmanned vessel itself, so that a dynamic collision avoidance requirement of the unmanned vessel is met.

A sailing assisting system is provided in which a sailing assist for a vessel which enters a specific water area where sailing of the vessel is limited is realized through a simple configuration and in which a steersman is prevented from having strange feeling. A sailing assisting system includes movable controlling devices (a shift and throttle controller, a steering device, a trim switch), actuators (a rotational shaft drive unit, a shaft drive unit, a switch drive unit) for driving these controlling devices, and a control unit for executing a notification operation and controlling the actuators to limit movable ranges of the controlling devices if a hull is determined to stay within a specific water area where the sailing of the hull is limited based on information on the specific water area and information on the position of the hull.

An object detection device includes an external sensor, an inertia sensor, and a control device. The external sensor is fixed to a ship. The external sensor detects an object. The inertia sensor detects information related to an inertial force applied to the ship. The control device acquires a state of relative displacement of a detection object on the basis of a signal output from the external sensor. The control device acquires a state of an attitude change of the ship on the basis of a signal output from the inertia sensor. The control device determines whether a detection object is present outside the ship according to a correlation between the state of the attitude change of the ship and the state of the relative displacement of the detection object.

A method of automatically moving, by an automatic location placement system, a marine vessel includes receiving, by a central processing unit, from a vision ranging photography system, at least one optical feed including data providing a mapping of an environment surrounding a marine vessel. The method includes displaying, by the central processing unit, on a touch screen monitor, the mapping of the environment. The method includes receiving, by the central processing unit, from the touch screen monitor, target location data. The method includes directing, by the central processing unit, at least one element of a propulsion system of the marine vessel, to move the marine vessel to the targeted location, using the mapping.

Systems are disclosed for navigating a marine vessel with a navigation system that displays a planned route including a set of current and future waypoints. The system has a display and an integrated user input control. A new desired current heading and new future waypoints with associated future headings are provided and a corresponding autopilot navigates accordingly.