Abstract: An automatic spraying unmanned aerial vehicle (UAV) system based on dynamic adjustment of early warning range and a method thereof are disclosed. In the automatic spraying UAV system, an unmanned aerial vehicle analyzes a forward direction and a forward speed of a staff appearing in an environment video, calculates a preset distance, and generates an early-warning range by extending outwardly a spraying range by a preset distance; when determining the staff appears within the early-warning range in the environment video, the unmanned aerial vehicle pauses an automatic spraying operation, so as to achieve the technical effect of improving safety of the staff in an operation area by dynamically adjusting the early-warning range of the automatic spraying operation of the unmanned aerial vehicle.

Abstract: Disclosed are systems and methods to detect objects within an environment by an aerial vehicle. An aerial vehicle may detect objects within an environment based on propeller noises emitted by the aerial vehicle that are reflected back to the aerial vehicle by objects in the environment. The propeller noise may be noise that is generated during normal operation of one or more propellers. The propeller noise emitted by the propellers of the aerial vehicle propagates into the environment around the aerial vehicle and reflects off any objects within the environment. Because the noise generated by each propeller is distinguishable, sets of solutions (distance and all directions) may be computed for each propeller. The intersections of those sets of solutions is representative of the actual distance and direction of the object with respect to the aerial vehicle.

Abstract: An aircraft and non-transitory computer-readable medium for detecting the spoofing of a signal from a satellite in orbit. A receiver on the aircraft to receive an apparent satellite signal. A computer for determining at least two characteristic signatures of the signal including a power level, and indicating the apparent satellite signal is a spoofed satellite signal.

Abstract: A system for monitoring the operational status of an aircraft crew includes a unit for determining at least one pilot state based on first monitoring data of a high design assurance level and second monitoring data of a lower design assurance level. The determination unit includes a first evaluation module capable of obtaining a high-level pilot state from the first data, regardless of the second data; a second evaluation module capable of determining a low-level pilot state, from at least the second data; and a consolidation module for determining a consolidated pilot state. The consolidated pilot state is obtained as a function of the high-level pilot state and the low-level pilot state.

Abstract: The system and method of projectile flight management using a combination of radio frequency orthogonal interferometry for the long range navigation and guidance of one or more projectiles that does not need to be accurate all the way to the ground based on the use of larger artillery. The system provides for more accurate targeting, especially in GPS-denied and GPS-limited environments.

Abstract: A system for monitoring tilled floor conditions within a field includes a sensor frame and a tilled floor sensing assembly supported on the sensor frame. The assembly, in turn, includes a plurality of pins configured to be extended relative to the sensor frame such that each pin penetrates a top surface of the field. Furthermore, the assembly includes a plurality of position sensors, with each position sensor configured to capture data indicative of a position of a given pin of the plurality of pins relative to the sensor frame. Moreover, the assembly includes a plurality of force sensors, with each force sensor configured to capture data indicative of a force being applied to a given pin of the plurality of pins. Additionally, the data captured by the plurality of position sensors and the data captured by the plurality of force sensors is indicative of a tilled floor profile of the field.

Abstract: A portable flight navigation tool has a tablet computer with GPS, and memory with an aviation database with international operating rules including transoceanic flight rules, a moving-map database with tracks, coastal airport identifiers and locations, and predefined reporting point locations for transoceanic operations. The navigation tool includes machine readable code for displaying the operating rules, reading locations from the GPS while indicating them on a moving map display, and a trip database with a planned transoceanic route for an individual flight configured by entry of waypoints or names and selection of predefined tracks. The tool has a checklist database and displays checklists for pre-departure, coast-out flight phase, waypoint-reached, and a coast-in flight phases; and may provide a heading and next-waypoint timing for rhumb-line routes from GPS failure locations to the next waypoint of the active route. The tool links as a master/secondary pair with another like tool.

Abstract: A post-disaster conditions monitoring system. The system may include plurality of aircraft drones configured to take photographic images; a conditions monitoring center having a controller including a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving images from the plurality of aircraft drones in a geographic region; determining conditions in the geographic region based on the images received from the plurality of aircraft drones; and sending information regarding the determined conditions to one or more users of the system.

Abstract: Methods and system for improved aircraft safety are described herein. A machine learning model may be trained using historical flight data for a number of previously flown flights where an automation function autonomously disengaged. The trained machine learning model may be used to generate probabilistic alert rules. The probabilistic alert rules may be used by a computing device onboard an aircraft to provide contextual information to flight crew relating to engagement status for one or more automation functions of the aircraft.

Abstract: Provided is an unmanned moving vehicle for monitoring and a system including the same and, more particularly, to a method of controlling an unmanned moving vehicle whose communication with a master unmanned device is disconnected. To this end, the unmanned moving vehicle system for monitoring includes a master unmanned device performing communication with a ground control system located on the ground; and an unmanned moving vehicle performing communication with the master unmanned device, flying in formation around the master unmanned device, and calculating a distance to other unmanned moving vehicle flying in formation when communication with the master unmanned device is disconnected.

Abstract: A system for a distributed pilot control of an aircraft is disclosed. The system includes a plurality of flight components. The system also includes an aircraft control located within the aircraft. The system includes an aircraft component attached to a flight component of the plurality of flight components. The aircraft component is configured to receive, from a command sensor attached to the aircraft control, an aircraft command. The aircraft component is configured to obtain, from an attitude sensor, an aircraft orientation. The aircraft component is configured to receive, as a function of a notification unit, a pilot signal. The aircraft component is additionally configured to command the flight component to produce a response command as a function of the pilot signal.

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: The present disclosure is directed toward the use of two or more autonomous vehicles, working in cooperation, to deliver an item between a source location and a destination location. For example, an autonomous ground based vehicle may transport an item from a source location to a transfer location and an autonomous aerial vehicle will transport the item from the transfer location to the destination location. The transfer location may be at any location along a navigation path between the source location and the destination location. In some examples, the transfer location may be adjacent the destination location such that the autonomous aerial vehicle is only transporting the item a short distance.

Abstract: Systems and methods of a vehicle for partially controlling operation of a vehicle based on operational constraints of the vehicle and/or contextual constraints of the vehicle are disclosed.

Abstract: A vehicle control system includes: a vehicle sensor configured to detect a vehicle state; a first control device connected to the vehicle sensor and provided with a first recording area; a first power supply device configured to supply electric power to the first control device; a second control device connected to the first control device and provided with a second recording area; and a second power supply device configured to supply electric power to the second control device. The first control device is configured to record vehicle data including the vehicle state in the first recording area at a prescribed timing and to transmit the vehicle data to the second control device on a prescribed cycle. The second control device is configured to record the vehicle data received from the first control device in the second recording area at a prescribed timing.

Abstract: The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives light detection and ranging (LIDAR) data generated from a LIDAR camera; receives preexisting utility line data; and determines a location of the utility line based upon: (i) the received LIDAR data, and (ii) the received preexisting utility line data.

Abstract: Example embodiments provide for a storage device that includes a storage controller including a plurality of analog circuits and at least one nonvolatile memory device including a first region and a second region. The at least one nonvolatile memory device stores user data in the second region and stores trimming control codes in the first region as a compensation data set. The trimming control codes are configured to compensate for offsets of the plurality of analog circuits and are obtained through a wafer-level test on the storage controller. The storage controller, during a power-up sequence, reads the compensation data set from the first region of the at least one nonvolatile memory device, stores the read compensation data set therein, and adjusts the offsets of the plurality of analog circuits based on the stored compensation data set.

Abstract: An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

Abstract: In some examples, a device may receive, from a first camera, a plurality of images of an airspace corresponding to an area of operation of an unmanned aerial vehicle (UAV). The device may detect, based on the plurality of images from the first camera, a candidate object approaching or within the airspace. Based on detecting the candidate object, the device may control a second camera to direct a field of view of the second camera toward the candidate object. Further, based on images from the second camera captured at a first location and images from at least one other camera captured at a second location, the candidate object may be determined to be an object of interest. In addition, at least one action may be taken based on determining that the candidate object is the object of interest.

Abstract: A system and method for path and/or motion planning and for training such a system are described. In one aspect, the method comprises generating a sequence of predicted occupancy grid maps (OGMs) for T?T1 time steps based on a sequence of OGMs for 0?T1 time steps, a reference map of an environment in which an autonomous vehicle is operating, and a trajectory. A cost volume is generated for the sequence of predicted OGMs. The cost volume comprises a plurality of cost maps for T?T1 time steps. Each cost map corresponds to a predicted OGM in the sequence of predicted OGMs and has the same dimensions as the corresponding predicted OGM. Each cost map comprises a plurality of cells. Each cell in the cost map represents a cost of the cell in corresponding predicted OGM being occupied in accordance with a policy defined by a policy function.

Abstract: Systems and methods for controlling a searchlight mounted to an aerial vehicle. The systems and methods receive angular data representing a directional angle of a beam of the searchlight and location data representing a global location of the aerial vehicle from a sensor system of the aerial vehicle. The systems and methods determine coverage of the beam of the searchlight on ground based on the angular data and the location data. Based on the coverage of the beam, the aerial vehicle is controlled to change the global location, the display is controlled to depict the coverage of the beam on a map including historical coverage of the beam, and/or the searchlight actuator is controlled to adjust the direction of the beam.

Abstract: A carrier aerial vehicle system includes a propulsion component configured to enable the carrier aerial vehicle system to be in flight. The carrier aerial vehicle system further includes a retention mechanism configured to allow a plurality of deployable parasite aerial vehicles to be coupled to the retention mechanism and released from the retention mechanism while the carrier aerial vehicle system is in flight. The carrier aerial vehicle system further includes a communication component configured to enable the carrier aerial vehicle system to wireless communicate with the plurality of parasite deployable aerial vehicles. The carrier aerial vehicle system further includes a processor configured to determine a position on the retention mechanism for each deployable parasite aerial vehicle of the plurality of deployable parasite aerial vehicles.

Abstract: A system comprises a ship having one or more maneuvering units for controlling the speed and direction of the ship. The ship comprises a ship control unit configured to send signals to the one or more maneuvering units to maneuver the ship and a transmitter-receiver connected to the control unit and configured to transmit and receive information. The system comprises a remote-control center remote from the ship. The remote-control center comprises a transmitter-receiver 16 configured to receive situation information of the ship. The remote-control center comprises a remote-control unit configured to determine pilot-control information for maneuvering the ship based on the situation information and configured to transmit the pilot-control information to the ship via the transmitter-receiver of the remote-control center. The transmitter-receiver of the ship is configured to receive the pilot-control information.

Abstract: A method for controlling a motor vehicle remotely. The method includes: receiving requirement signals, which represent at least one requirement that is in force for a restricted geographic region and must be followed by motor vehicles; receiving navigation signals, which represent a route to be traveled by the motor vehicle; based on the navigation signals, checking if the at least one requirement is being followed by the motor vehicle; the checking including a check as to whether the route to be traveled by the motor vehicle violates the at least one requirement; generating remote control signals for controlling a lateral and/or longitudinal guidance of the motor vehicle remotely, based on a result of the check as to whether the at least one requirement is being followed by the motor vehicle; outputting the generated remote control signals. A device, a computer program and a machine-readable storage medium, are also described.

Abstract: An unmanned aerial vehicle (UAV) control system includes a first UAV, a second UAV that flies near the first UAV during a flight of the first UAV and is configured to obtain wind information about wind, and flight control means for controlling the flight of the first UAV based on the wind information obtained by the second UAV.

Abstract: A wing model for static aeroelasticity wind tunnel test belongs to the technical field of aeroelasticity tests. In the wing model, the model steel joint and the spar frame are connected with the composite material skin. The piezometer wing ribs are arranged among the spar frame and the plurality of supporting wing ribs. The embedded piezometer tubes are arranged in the piezometer wing ribs, the lightweight filling foam is arranged among the spar frame and the plurality of supporting wing ribs. An outer surface of a frame segment formed by the lightweight filling foam, the plurality of supporting wing ribs, the piezometer wing ribs and the spar frame is covered with the composite material skin. The frame segment is assembled on the model steel joint to form the wing model for the static aeroelasticity wind tunnel test.

Abstract: A processor may analyze an external device for one or more activity data collection devices. A processor may identify an activity the external device will perform in a protected boundary using the one or more activity data collection devices. A processor may deactivate the one or more activity data collection devices associated with the external device. A processor may generate activity data based, at least in part, on the activity and the protected boundary. A processor may output the activity data to the external device. In some embodiments, the external device may perform the activity using the activity data.

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: A rotorcraft including a first power plant, at least one main rotor participating at least in providing lift for the rotorcraft in the air, and at least one tail rotor carried by a tail boom, the first power plant including at least one engine. In accordance with the invention, the rotorcraft includes: at least one pusher or puller propeller independent from the at least one main rotor, the at least one pusher or puller propeller participating at least in providing propulsion or traction for the rotorcraft; a second power plant including at least one electric motor; and at least one control member configured to generate a control setpoint or instruction for controlling the at least one electric motor.

Abstract: Aspects of the subject disclosure may include, for example, obtaining video data from a single monocular camera, wherein the video data comprises a plurality of frames, wherein the camera is attached to a mobile robot that is travelling along a lane defined by a row of crops, wherein the row of crops comprises a first plant stem, and wherein the plurality of frames include a depiction of the first plant stem; obtaining robot velocity data from encoder(s), wherein the encoder(s) are attached to the robot; performing foreground extraction on each of the plurality of frames of the video data, wherein the foreground extraction results in a plurality of foreground images; and determining, based upon the plurality of foreground images and based upon the robot velocity data, an estimated width of the first plant stem. Additional embodiments are disclosed.

Abstract: A method for controlling an autonomous unmanned aerial vehicle for delivery of a medication package includes determining a thermal control period for the medication package. The method also includes identifying a delivery location corresponding to the medication package. The method also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between a starting location and the delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the delivery location. The method also includes determining whether to deliver the medication package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

Abstract: In a fuel control system (10) for a gas turbine engine (1) having a gas generator (4) and a turbine (6) driven by the gas generator (4): a main fuel regulator (12) determines a demand (Wfdem) of fuel flow (Wf) to be introduced in the gas turbine engine (1), based on an input request (PLA); and a first limiter stage (14), operatively coupled to the main fuel regulator (12), causes an adjustment of the fuel flow (Wf) based on engine safety operating limits. The first limiter stage (14) is provided with a Ngdot limiter (20) to cause an adjustment of the fuel flow (Wf) when the gas generator speed rate of change (Ngdot) is determined to overcome acceleration/deceleration scheduled safety limits; the Ngdot limiter (20) implements a predictor (23), to perform a prediction (Wfdot) of the fuel flow rate of change (Wfdot), or fuel flow (Wf), allowing the gas generator speed rate of change (Ngdot) to track a scheduled reference value (Ngdotref).

Abstract: Systems, methods, and devices for performing computing operations are provided. In one example, a system is described to include an endpoint belonging to a collective that is organized as a hierarchical tree. The collective includes one or more application groups that are connected to leaf nodes of the hierarchical tree, where each application-level process in the one or more application groups initiate processing of data based on an order of arrival known for at least one other application-level process joining the one or more application groups.

Abstract: A return flight control method includes obtaining return-flight-evaluation information in a return flight mode, controlling an unmanned aerial vehicle (UAV) to return to an alternate landing area in response to that the return-flight-evaluation information satisfies a preset requirement, and controlling the UAV to return to a return point in response to that the return-flight-evaluation information does not satisfy the preset requirement.

Abstract: Methods and systems for efficient airspace design and planning using the Airspace Information Model are described. In one example aspect, a method for designing an improved airspace model includes receiving a first user input that comprises one or more parameters, generating, based on the first user input, an airspace design, performing a validation of the airspace design against an aviation standard, the validation comprising a set of design rules and criteria for evaluation of aircraft performance and safety of operations, generating, based on at least the parametric model, at least one key performance indicator (KPI) for the airspace design, providing for display a value of the at least one KPI, receiving a second user input that comprises an updated value for at least one of the one or more parameters, and providing for display, based on the second input, an updated value of the at least one KPI.

Abstract: Technologies are described for determining route proposals for shipment of cargo using unique location identifiers (ULIs). For example, a pickup ULI and a delivery ULI can be received. The pickup ULI and the delivery ULI are in the ULI data structure format defined herein. A first geographic area representing a pickup leg can be determined for shipment of the cargo from the pickup ULI to a first transportation network location and a second geographic area representing a delivery leg can be determined for shipment of the cargo from a second transportation network location to the delivery ULI. The main leg of the shipment occurs between the first transportation network location and the second transportation network location and travels through one or more defined transportation networks. Route proposals can be generated for shipment of the cargo through the pickup leg, main leg, and/or delivery leg.

Abstract: Provided is a storage device storing a movement assistance program, the program being configured to cause a computer to implement the functions of: a terrain information acquisition instruction section that instructs a terrain information acquisition device mounted on a flying machine to acquire terrain information representing a terrain lying between a present location of a ground-moving machine and a destination; a zone classification section that makes a classification based on a predetermined movement permission condition and the terrain information to divide the terrain lying between the present location and the destination into a movement-permitted zone and a movement-prohibited zone; and an output section that outputs at least one selected from a movement route of the ground-moving machine, the movement-permitted zone, and the movement-prohibited zone, the movement route leading from the present location to the destination without passing through the movement-prohibited zone.

Abstract: An apparatus and a method allowing a pilot or more generally a crew to enrich a database of user obstacles directly inside the aircraft, on the ground and even during flight. Generally, the apparatus is based on a new software component, which allows new services to be provided for the functional avionic components and for the human machine interfaces HMI of the avionics. This new software component is configured to allow: user obstacles to be created, changed, deleted at the request of components of HMIs of the avionics; user obstacles to be sent to clients of the services of this new software component, which are either other functional components of the avionics or other components of HMIs of the avionics; user obstacles to be recorded to a nonvolatile memory and restored from this nonvolatile memory.

Abstract: The present application at least describes a non-transitory computer readable medium including program instructions that when executed by a processor effectuate a set of actions. The program instructions include causing a scan of a radio frequency spectrum to detect one or more radio signals transmitted within a pre-defined area. The program instructions also include causing a capture of a radio signal of interest from the one or more radio signals. The program instructions also include demodulating the radio signal of interest to determine coded sensor data carried thereon. The program instruction further include decoding the coded sensor data to determine a characteristic of the sensor data. The program instruction further include generating an alert based on the characteristic of the sensor data.

Abstract: The present disclosure relates to a wheel speed sensor system (1), comprising: one or more first wheel speed sensors (2a, 2b), a first application specific integrated circuit (ASIC) (4) configured to receive one or more first wheel speed signals from the one or more first wheel speed sensors (2a, 2b) and to convert the one or more first wheel speed signals to first wheel speed data, and a first electronic control unit (ECU) (6) configured to receive the first wheel speed data from the first ASIC (4) via a data link (8) between the first ECU (6) and the first ASIC (4); and one or more second wheel speed sensors (3a, 3b), a second ASIC (5) configured to receive one or more second wheel speed signals from the one or more second wheel speed sensors (3a, 3b) and to convert the one or more second wheel speed signals to second wheel speed data, and a second ECU (7) configured to receive the second wheel speed data from the second ASIC (5) via a data link (9) between the second ECU (7) and the second ASIC (5).

Abstract: Techniques are described for controlling an autonomous vehicle such as an unmanned aerial vehicle (UAV) using objective-based inputs. In an embodiment, the underlying functionality of an autonomous navigation system is exposed via an application programming interface (API) allowing the UAV to be controlled through specifying a behavioral objective, for example, using a call to the API to set parameters for the behavioral objective. The autonomous navigation system can then incorporate perception inputs such as sensor data from sensors mounted to the UAV and the set parameters using a multi-objective motion planning process to generate a proposed trajectory that most closely satisfies the behavioral objective in view of certain constraints. In some embodiments, developers can utilize the API to build customized applications for the UAV. Such applications, also referred to as “skills,” can be developed, shared, and executed to control behavior of an autonomous UAV and aid in overall system improvement.

Abstract: A flight control apparatus that enables a flying object to safely pass another flying object includes a detection unit configured to detect, in a predetermined range from a flying object, another flying object. A specifying unit is configured to specify a moving direction of the detected other flying object. A judging unit is configured to judge, based on the specified moving direction, whether or not passing is possible. A determination unit is configured to determine, based on a relationship between the flying object and the other flying object, content of a passing operation to be performed with respect to the other flying object. A flight control unit is configured to, if it is judged that passing is possible, control flight of the flying object and perform the passing operation according to the determined content.

Abstract: Methods, apparatus, and systems are disclosed for performing radio station monitoring using unmanned aerial vehicles. An example unmanned aerial vehicle disclosed herein includes at least one memory, computer readable instructions, and processor circuitry to execute the computer readable instructions to control the unmanned aerial vehicle to travel to a first radio station site to monitor a radio broadcast associated with the first radio station site, detect a watermark in the radio broadcast, and report at least one of the detected watermark or information associated with the detected watermark to a remote receiver.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for surveillance with security camera drone. In some implementations, a determination is made to begin surveillance of an in-house service with a drone. A duration of the in-house service is determined. A location to land the drone during the in-house service is determined based on the duration of the in-house service. Landing of the drone is initiated at the determined location.

Abstract: The present disclosure provides a cargo revenue management system and method that increases the efficiency of cargo revenue management by increasing the prediction accuracy of cargo volumes that customers will tender in order to generate more efficient decisions to accept or reject cargo bookings. The provided system accomplishes this increased efficiency by identifying cargo volumes that customers arbitrarily book when an actual volume is unknown as disguised missing values and deemphasizing such values in the prediction of a cargo volume that will be received. The provided system additionally utilizes machine-learning models trained on a combination of features to predict a cargo volume that will be received for a particular cargo booking. Based on the predicted cargo volume that will be received, the system generates a decision of whether to accept or reject the cargo booking to maximize revenue generation.

Abstract: A technique for user interaction with an autonomous unmanned aerial vehicle (UAV) is described. In an example embodiment, perception inputs from one or more sensor devices are processed to build a shared virtual environment that is representative of a physical environment. The sensor devices used to generate perception inputs can include image capture devices onboard an autonomous aerial vehicle that is in flight through the physical environment. The shared virtual environment can provide a continually updated representation of the physical environment which is accessible to multiple network-connected devices, including multiple UAVs and multiple mobile computing devices. The shared virtual environment can be used, for example, to display visual augmentations at network-connected user devices and guide autonomous navigation by the UAV.

Abstract: An aircraft lifecycle in which digital data for an aircraft part is automatically collected, retained, and utilized to individualize aircraft inspection and maintenance is described. Several types of data, including non-destructive evaluation and measurement data and structural health monitoring data, are used in a feedback loop having various phases which may automatically receive data in digital format from other phases. In this manner the part being designed, fabricated, tested, and maintained for the aircraft is optimized and processes involved in the lifecycle of the part is made more efficient.

Abstract: A machine-readable media including executable instructions, when executed by one or more processors of a flight management system in a following aircraft. The machine-readable media configured to provide instructions to a flight management system of a following aircraft operating according to a following aircraft planned path, in reference to a target aircraft operating according to a target aircraft planned path, receive information regarding the target aircraft, set a required time of arrival at an achieve-by-point, and engage a required time of arrival function to enable the following aircraft to reach the achieve-by-point by the required time of arrival.

Abstract: A method for testing a, in particular safety-relevant, technical system, in particular encompassing software. The system is represented by a model encompassing at least two or more components. An assumption of a respective component regarding the safety-relevant system, and a guarantee of a respective component to the safety-relevant technical system, are specified by a safety contract. Executable program code is generated based on at least one assumption and based on at least one guarantee. The safety-relevant technical system is tested by executing the program code.

Abstract: Navigation of a solar vehicle is provided by obtaining a target geographic destination for the vehicle having one or more photovoltaic solar arrays; obtaining configuration data defining a target solar vector relative to a reference frame of the vehicle; identifying a current geographic positioning of the vehicle via a geo-positioning system of the vehicle, including a current geographic location and a current geographic orientation of the vehicle; identifying a current solar vector relative to the reference frame of the vehicle; and during at least a portion of a solar day, outputting a steering command for the vehicle for an indirect path from the current geographic location toward the target geographic destination that is based, at least in part, on a comparison of the current solar vector to the target solar vector. The steering command can be presented to a human operator or programmatically implemented by an autonomous or semi-autonomous vehicle.