Abstract: An optical fiber sensing system according to the present disclosure includes an optical fiber (10) that detects vibration, a detection unit (21) that detects occurrence of a predetermined event, based on an optical signal on which vibration detected by the optical fiber (10) is superimposed, an identification unit (22) that identifies an occurrence location of the predetermined event, based on the optical signal, and identifies a movement destination area serving as a moving destination of an unmanned aerial vehicle that monitors an occurrence location of the predetermined event, based on an occurrence location of the predetermined event, and a control unit (23) that controls the unmanned aerial vehicle to move to the movement destination area.

Abstract: A system and method that reduces wave-making resistance of at least one follower vessel following at least one lead vessel operating in a seaway based on a determination of time-dependent variations in the Kelvin wake waves being generated by the lead vessel when operating in a seaway. By using a time-dependent Kelvin wake wave generation approach, the determination of where to position the follower vessel in a reduced wave-making resistance region may be improved, such as when the lead vessel changes direction and/or speed in the seaway. Such an approach may position the follower vessel based on information associated with the Kelvin wake wave generated by the lead vessel in the past, which the follower vessel approaches this past-generated Kelvin wake wave and is positioned in the reduced wave-making resistance region associated with this past-generated Kelvin wake wave.

Abstract: A ship body control device is provided, which includes a rudder controller configured to control a rudder angle of a ship, a sensor configured to measure a ship body direction of the ship, and an autopilot controller configured to output a rudder angle command to the rudder controller. The autopilot controller includes an angle-of-deviation calculating module configured to calculate a deviation angle of a stern direction from a target stern direction based on the ship body direction, and a rudder angle command setting module configured to set the rudder angle command so as to maintain a current rudder angle when the deviation angle is less than a first threshold, and to change it to a given fixed turning rudder angle when the deviation angle is the first threshold or more.

Abstract: The relative position between a vehicle and an extension unit located outside the vehicle is detected, and a command touch operation for operating the vehicle with a remote operation device is set in accordance with the detected relative position. The touch operation of an operator is detected by a touch panel of the remote operation device, and a determination is made as to whether or not the detected touch operation is the command touch operation. When the touch operation is the command touch operation, the vehicle is controlled to execute autonomous travel control. The vehicle has an autonomous travel control function.

Abstract: A ship body control device is provided, which includes a sensor, a propelling force controller, and an autopilot controller. The sensor measures a speed of a ship. The propelling force controller controls a propelling force of the ship. The autopilot controller outputs an instruction to reduce the propelling force to the propelling force controller, when a condition of canceling an automatic cruise in which the speed of the ship matches with an automatic ship speed setting is satisfied.

Abstract: A ship body control device is provided, which includes a control lever having a neutral position, and processing circuitry. When the control lever is moved during an automatic cruise, the processing circuitry executes a deceleration control from a speed of a ship body during the automatic cruise, and when the position of the control lever is in agreement with a position for changing to a manual cruise, the processing circuitry changes the automatic cruise to the manual cruise at a rotating speed of an engine according to the position for changing to the manual cruise.

Abstract: A design method of a high energy efficiency unmanned aerial vehicle (UAV) green data acquisition system belongs to the technical field of data acquisition and optimization for UAV uplink communication. Firstly, a system optimization objective is constructed; and in a uplink communication network of a single UAV and ground sensors, the UAV receives data periodically. Secondly, according to a constructed optimization problem, the optimization objective is maximization of EE({W},{t},{S}). Finally, an original problem is decomposed into two approximate concave-convex fractional sub-problem based on a block coordinate descent method and a successive convex approximation technique to obtain a suboptimal solution; an overall iterative algorithm is proposed: in each iteration, by solving the sub-problems, wake-up scheduling S, time slot t and UAV trajectory W are alternately optimized. The solution obtained in each iteration is used as the input of next iteration.

Abstract: Systems, devices, and methods for receiving, by a processor having addressable memory, data representing a geographical area for imaging by one or more sensors of an aerial vehicle; determining one or more straight-line segments covering the geographical area; determining one or more waypoints located at an end of each determined straight-line segment, where each waypoint comprises a geographical location, an altitude, and a direction of travel; determining one or more turnarounds connecting each of the straight-line segments, where each turnaround comprises one or more connecting segments; and generating, by the processor, a flight plan for the aerial vehicle comprising: the determined one or more straight-line segments and the determined one or more turnarounds connecting each straight-line segment.

Abstract: An autonomous driving validation system may include a primary advanced autonomy system located on board an autonomous vehicle (AV) that includes sensors, computing subsystems, and a drive-by-wire system. The primary advanced autonomy system may be configured to process first computations relating to a driving operation of the AV. The autonomous driving validation system may also include an off-board autonomous cloud computing system that includes cloud computing subsystems. The off-board autonomous cloud computing system may be configured to process second computations that are similar to the first computations processed by the primary advanced autonomy system.

Abstract: The present invention is for an autonomous aerial vehicle that enables near real-time computation of harvest yield data. Generally, the autonomous aerial vehicle receives combine harvest data from a harvesting vehicle, generates high-resolution yield data based on sensor suite that is on-board the autonomous vehicle, obtains edge compute data from an edge computing device at the edge of the network, and segments the received combine harvest data, the generated high-resolution yield data, and the obtained edge compute data. The aerial vehicle applies data normalization models to the segmented data and computes a normalized harvest yield for at least a portion a land tract. In this manner, the data delivery vehicles computes normalized data that otherwise can by noisy and unreliable.

Abstract: Cardiovascular or respiratory data of a subject is measured using a multi-sensor system. The multi-sensor system includes a mm-wave FMCW radar sensor, an IMU sensor, and one or more proximity sensors. The mm-wave FMCW radar sensor may be selected and its view angle adjusted based on positioning data regarding the subject obtained from the one or more proximity sensors. Each of the mm-wave FMCW radar sensor and the IMU sensor may acquire cardiovascular or respiratory measurements of the subject, and the measurements may be fused for improved accuracy and performance.

Abstract: Systems and methods for operating a vehicle during a remote trailer parking operation include receiving, via a processor, a control instruction from a first mobile device indicative of a first curvature command providing directional control of a vehicle, and a first user engagement indicator. The processor may receive, from a second mobile device, a second control instruction from a second mobile device, the second control instruction can include a second user engagement indicator. The system may determine, based on the first user engagement indicator that first user engagement meets a threshold, and determine, based on the second user engagement indicator that second user engagement meets a threshold.

Abstract: The invention relates to an automatic payload shipment system (1) for an unmanned aerial vehicle (UAV, 3) comprising: a) an unmanned aerial vehicle (UAV, 3), b) at least one payload container (2) being configured to be automatically releasably attachable to the unmanned aerial vehicle (3), wherein the payload container (2) has a container wall (22) enclosing a container volume (22c) for goods (21) or a person, and wherein the container wall (22) comprises an energy storage (10) for providing the unmanned aerial vehicle with energy, c) a landing platform (4) for the unmanned aerial vehicle (3), the landing platform (4) comprising an elevated landing area (41) accessible by the unmanned aerial vehicle (3) from the air, a support post (8) supporting the landing area (41), the support post (8) extending upwards from the ground (101) for providing an elevation for the landing area (41), a transport system (6) for automatically transporting the payload container (2) from the landing area (41) to a terminal position

Abstract: A navigation program for an autonomous vehicle, the navigation program configured to: receive an initial model of an object to be inspected by the autonomous vehicle; identify an inspection target associated with the initial model of the object; and determine an inspection location for the autonomous vehicle from which inspection target is inspectable by an inspection system of the autonomous vehicle, wherein the initial model includes one or more convex shapes representing the object.

Abstract: A parking control method includes: detecting a first parking space based on the ambient image of the vehicle captured by an imaging device; controlling at least a steering actuator of the vehicle to cause the vehicle to be parked in the first parking space; detecting a second parking space based on the ambient image of the vehicle captured by the imaging device, while the vehicle is travelling into the first parking space, the second parking space being adjacent to the first parking space in a travelling direction of the vehicle, the second parking space being farther than the first parking space from the vehicle; and controlling at least the steering actuator of the vehicle to cause the vehicle to be parked in the second parking space.

Abstract: Many different types of systems are utilized and tasks are performed in a marine environment. The present invention provides various configurations of castable devices that can be operated and/or controlled for such systems or tasks. One or more castable devices can be integrated with a transducer assembly, such as a phased array, that emits sonar beams and receives sonar returns from the underwater environment. Processing circuitry may receive the sonar returns, process the sonar returns, generate an image, and transmit the image to a display.

Abstract: Baggage is connected to an aerial vehicle in a state in which the baggage is suspended by a connector such as rope. A learning unit of a server device performs machine learning on the relationship between the piloting of an aerial vehicle and the behavior of baggage on the basis of an aerial vehicle behavior history and a piloting history acquired by a first acquisition unit and a baggage behavior history acquired by a second acquisition unit. With this arrangement, the automatic piloting of the aerial vehicle at the time of lowering baggage is achieved.

Abstract: Aspects of the disclosure relate to providing information about a vehicle dispatched to pick up the user. In one example, a request for the vehicle to stop at a particular location is sent. In response, information identifying a current location of the vehicle is received. A map is generated. The map includes a first marker identifying the received location of the vehicle, a second marker identifying the particular location, and a shape defining an area around the second marker at which the vehicle may stop. The shape has an edge at least a minimum distance greater than zero from the second area. A route is displayed on the map between the first marker and the shape such that the route ends at the shape and does not reach the second marker. Progress of the vehicle towards the area along the route is displayed based on received updated location information for the vehicle.

Abstract: A method for collaborative and optimal allocation of a route time slot and a flight level comprises: acquiring planned route information and alternative route information in a traffic limited airspace, available time slot information of a downstream airspace unit of the planned route, and flight operation information first, then formulating an algorithm for the collaborative and optimal allocation of the route time slot and the flight level, establishing an objective function and a constraint condition which meet effectiveness by taking a minimum total ground delay loss of all flights, a minimum change number of flight levels of all flights and a minimum total fuel consumption of all flights as objectives, further establishing a multi-objective optimization model for the collaborative allocation of the route time slot and the flight level, and forming a strategy for the collaborative and optimal allocation of the route time slot and the flight level.

Abstract: A ship body control device is provided, which includes a sensor, a propelling force controller, and an autopilot controller. The sensor measures a speed of a ship. The propelling force controller controls a propelling force of the ship. The autopilot controller outputs an instruction to reduce the propelling force to the propelling force controller, when a condition of canceling an automatic cruise in which the speed of the ship matches with an automatic ship speed setting is satisfied.