Provided is a sampling method for surface sediments in an intertidal zone based on an unmanned aerial vehicle platform, including: at low tide, automatically or manually moving an unmanned aerial vehicle to an appropriate height above a sampling position of the surface sediments in the intertidal zone according to a preset waypoint. The unmanned aerial vehicle platform is equipped with a winch, a releaser and a surface sampler. Operation process: the sampler is released, and the sampler is inserted into seabed by gravity to obtain a sample with a specified quality; the unmanned aerial vehicle rises vertically, and uses a lift to take the sample off an intertidal zone ground; the winch is started to recover the sampler to a bottom of the unmanned aerial vehicle; after the completion, the unmanned aerial vehicle automatically or manually returns to an initial position.

A method (1000) for determining a position deviation of a first node the method comprising obtaining (1110) input data, at a first and second position. Said input data comprises, an estimated position of the first node (p1) and a first velocity vector (v1) of the first node, obtaining (1120) the exact position (p.sub.2*) of the second node; obtaining (1125) the emitted frequency (f.sub.e) of an acoustic signal a source; (1130) receiving the acoustic signal (S) and measuring the observed frequency; calculating (1140) a second velocity vector (v12) which defines the velocity of the first node in relation to the second node; and calculating (1150), the angle () between the first velocity vector and the second velocity vector; determining (1160) based on the angle, the first velocity vector, and the estimated position of the first node, a line of direction (L) indicating the direction from the estimated position of the first node towards an estimated position of the second node, and determining (1300) based on a first and second line of direction an intersection point defining the estimated position of the second node (p.sub.2); determining (1400) a deviation vector (V.sub.d) corresponding to the difference between the estimated position of the second node and the exact position of the second node, and determining (1500) the position deviation of the first node which corresponds to the deviation vector. The disclosure further relates to a positioning system for determining a position deviation for a first node and an underwater vehicle.

This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submerisble ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

A distributed sensor network includes a first plurality of cooperatively acting unmanned autonomous vehicles, UAVs, spatially distributed to create a domain exclusion zone, DEZ. Each of the UAVs includes one or more first sensors configured to gather detection signals from any object entering the DEZ, a signal processor connected to the one or more first sensors and configured to process the detection signals gathered by the one or more first sensors, to perform object classification, discrimination, and identification, CDI, algorithms on the detection signals, and to output a CDI signal related to the object, and one or more communication modules coupled to the signal processor and configured to transmit the CDI signal to other UAVs in the first plurality of cooperatively acting UAVs.

An aquatic rescue vehicle formed by adding directional and speed controls to a watercraft along with an autonomous control system to guide the vehicle to specified waypoints is disclosed. The rescue vehicle includes search devices such as a radio direction finder (RDF) and an infrared sensor (or camera) to be used to narrow the search for an isolated person (IP). The rescue vehicle may be discharged from a larger watercraft or an airplane and autonomously set out on its rescue mission. The vehicle may first navigate to a designated waypoint near an IP, and then use signals gathered from the RDF and infrared sensor to finally locate, assist, and retrieve the IP. The vehicle also includes a self-righting mechanism so that the vehicle can complete its mission even under the most adverse conditions.

An aircraft position control system that keeps an aircraft at target coordinates in an inertial space with respect to a target landing point that moves includes an acceleration correction processing unit that, based on acceleration of the aircraft and an attitude of the aircraft, outputs first attitude correction acceleration for correcting the acceleration of the aircraft, a complementary filter that, based on the first attitude correction acceleration and inertial velocity of the aircraft, outputs second attitude correction acceleration in which a drift component included in the first attitude correction acceleration is removed, and a smoothing processing unit that, based on the second attitude correction acceleration and relative coordinates between the aircraft and the target landing point, outputs smoothed relative coordinates obtained by smoothing the relative coordinates.

The present disclosure relates to the technical field of decision-making of unmanned surface vehicles, and provides a brain-like memory-based environment perception and decision-making method and system for an unmanned surface vehicle. The method includes: obtaining an image of an environment in front of an unmanned surface vehicle; and inputting the image of the environment into an environment perception and decision-making model of the unmanned surface vehicle, and outputting an action instruction, where the environment perception and decision-making model of the unmanned surface vehicle includes an image feature extractor, a Bidirectional Encoder Representations from Transformers (BERT) model, a fully connected layer, a short-term scene memory module, and a long-term memory module that are connected in turn; the BERT model extracts an image feature representation containing a text feature from an image feature. The present disclosure improves accuracy of decision-making of an action.

A craft comprises at least one hull; at least one wing configured to generate upwards aero lift as air flows past the at least one wing to facilitate wing-borne flight of the craft; a front hydrofoil connected to the at least one hull via a front hydrofoil strut and configured to generate upward hydrofoil lift as water flows past the front hydrofoil to facilitate hydrofoil-borne movement of the craft through the water; a rear hydrofoil connected to the at least one hull via a rear hydrofoil strut and configured to generate upward hydrofoil lift as water flows past the rear hydrofoil to facilitate hydrofoil-borne movement of the craft through the water; and a control system. While the craft is hydrofoil-borne, the control system is configured to facilitate transition of the craft from hydrofoil-borne operation to wing-borne operation via a process comprising: while the upwards aero lift generated by the at least one wing is below a threshold lift, controlling one or both of the front hydrofoil and the rear hydrofoil to generate a downward hydrofoil lift that causes the front hydrofoil and the rear hydrofoil to remain at least partially submerged in the water; and after the upwards aero lift generated by the at least one wing has increased above the threshold lift, transitioning the craft from hydrofoil-borne operation to wing-borne operation at least in part by controlling one or both of the front hydrofoil and the rear hydrofoil to switch from (a) generating the downward hydrofoil lift to (b) generating an upward hydrofoil lift that pushes the craft up and out of the water.

A ship control device includes an input unit, an operation monitoring unit, and a ship holding unit. The input unit is inputted with an operating position of a ship operator for controlling the moving direction or propulsion of the ship. The operation monitoring unit detects an operation stationary state in which the operating position of the ship is unchanged for a predetermined time based on the time variation of the operating position of the ship. When the ship holding condition, including the detection of the operation stationary state, is satisfied, the ship holding unit performs ship holding control to hold the behavior of the ship.

A disturbance estimation apparatus that includes a position data receiver, a thrust data receiver, and processing circuitry is provided. The position data receiver receives position data indicating a position of a ship. The thrust data receiver receives thrust data indicating a thrust force driving the ship during navigation. The processing circuitry determines a magnitude of the thrust force based on the thrust data, and determines, based on the position data, disturbance data including a drift direction in which the ship drifts due to an external force and a drift speed of the ship while the thrust force is less than a threshold value. The processing circuitry outputs the disturbance data that indicates disturbance acting on the ship and assists to control movement of the ship for automatically maintaining a selected position or heading direction of the ship.