Abstract: A technique for detecting an environmental change to a delivery zone via an unmanned aerial vehicle includes obtaining an anchor image and an evaluation image, each representative of the delivery zone, providing the anchor image and the evaluation image to a machine learning model to determine an embedding score associated with a distance between representations of the anchor image and the evaluation image within an embedding space, and determining an occurrence of the environmental change to the delivery zone when the embedding score is greater than a threshold value.

Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: A network for providing high speed data communications may include multiple terrestrial transmission stations that are located within overlapping communications range and a mobile receiver station. The terrestrial transmission stations provide a continuous and uninterrupted high speed data communications link with the mobile receiver station employing a wireless radio access network protocol.

Abstract: The present invention relates to a national forest resources continuous inventory cloud platform and sample plot monitoring method. The cloud platform includes a perception layer, a network layer, a platform layer, a data layer, an application layer, and a user layer.

Abstract: A transport system (10) for transporting workpieces (12) on a transport path between two production process stations, includes a set of drones (18, 20), each of which includes at least one gripper (26), which is designed to releasably couple to a surface (28) of a workpiece, and a control device for the simultaneous coordinated control of the drones (18, 20) of the set in such a way that the grippers (26) of the drones (18, 20) couple to different coupling positions on the surface (28) of the workpiece (12) and the orientation of the workpiece (12) can be changed on a transport path between the production process stations by changing the relative positions of the drones (18, 20) while maintaining the relative distances of the coupling positions from one another.

Abstract: A network interface device comprises a first area of trust comprising a first part of the network interface device, the first part comprising one or more first kernels. A second area of trust comprising a second part of the network interface device different to said first part is provided, the second part comprising one or more second kernels. A communication link is provided between the first area of trust and the second area of trust. At least one of the first and second areas of trust is provided with isolation circuitry configured to control which data which is passed to the other of the first and second areas via the communication link.

Abstract: This disclosure generally relates to a light electric vehicle. More specifically, this disclosure describes how to limit or restrict access to a light electric vehicle based on determined or anticipated environmental conditions. The disclosure also describes how to change one or more capabilities or operating parameters of the light electric vehicle based on determined and/or anticipated environmental conditions.

Abstract: A system for flight control in electric aircraft includes a flight controller configured to provide an initial vehicle torque signal including a plurality of attitude commands. The system includes a mixer configured to receive the initial vehicle torque signal and a vehicle torque limit, receive prioritization data including a prioritization datum corresponding to each of the plurality of attitude command, determine a plurality of modified attitude commands as a function of the vehicle torque limit, the attitude commands, and the prioritization data, generate, as a function of modified attitude commands, an output torque command including the initial vehicle torque signal adjusted as a function of the vehicle torque limit, generate, as a function of the output torque command, a remaining vehicle torque. The system includes a display, wherein the display is configured to present, to a user, the remaining vehicle torque and the output torque command.

Abstract: Systems and methods for operating done flights over public roadways are disclosed herein. An example method includes transmitting, by a first drone, a drone safety message, the drone safety message being received by a vehicle or a roadside infrastructure device located along a first planned flight path, determining an emergency condition for the first done, transmitting a warning message over a vehicle-to-everything communication that indicates that the first drone is experiencing the emergency condition. A connected vehicle or mobile device receives the warning message over the vehicle-to-everything communication. Determining drone operating evidence as the first drone traverses along the first planned flight path, and storing the drone operating evidence in a distributed ledger.

Abstract: A method of automatic configuration of a communications interface of an unknown data network, the method comprising connecting an Electronic Flight Bag (EFB) to the unknown data network, attempting to open communication ports, in response to attempting to open communication ports, receiving data from the unknown data network, determining, by a controller module, if the selected communications interface can interpret the received data, and operating the communications interface of the EFB in accordance with the selected communications interface.

Abstract: There is described a method of operating a multi-engine system of an helicopter. The multi-engine system has a first turboshaft engine having a first shaft, a second turboshaft engine having a second shaft, a gearbox having a clutch system, and a range of rotation speeds defined as a placarded zone. The method generally has rotating the first shaft at a flight rotation speed when clutched and rotating the second shaft at a first idle rotation speed when unclutched, the first idle rotation speed above the placarded zone; decreasing a rotation speed of the first shaft from the flight rotation speed to a given rotation speed within the placarded zone; decreasing a rotation speed of the second shaft to the given rotation speed; clutching the second shaft; and decreasing the rotation speeds of the first and second shafts to a second idle rotation speed below the placarded zone.

Abstract: Dynamic shielding of cellular signals for an antenna of an unmanned aerial vehicle is disclosed. An example method may include receiving a navigation route for an unmanned aerial vehicle to execute during flight of the unmanned aerial vehicle and determining an orientation of a radio signal shield for an antenna of the unmanned aerial vehicle using ground level signal propagation information of radio signals for a network and the navigation route, wherein the radio signal shield prevents the radio signals from being received by the antenna from directions based on the orientation. The method may further include adjusting the radio signal shield using the orientation and communicating with a cellular base station of the network using the antenna.

Abstract: A tailsitter aircraft includes an airframe, a thrust array attached to the airframe and a flight control system. The thrust array includes propulsion assemblies configured to transition the airframe from a forward flight orientation to a VTOL orientation at a conversion rate for an approach to a target ground location in a forward flight-to-VTOL transition phase. The flight control system implements an adaptive transition system including a transition parameter monitoring module configured to monitor parameters including a ground speed and a distance to the target ground location. The adaptive transition system includes a transition adjustment determination module configured to adjust the conversion rate of the airframe from the forward flight orientation to the VTOL orientation based on the ground speed and the distance to the target ground location such that the airframe is vertically aligned with the target ground location in the VTOL orientation of the forward flight-to-VTOL transition phase.

Abstract: Methods and devices for optimizing the climb of an aircraft or drone are provided. After an optimal continuous climb strategy has been determined, a lateral path is determined, in particular in terms of speeds and turn radii, based on vertical predictions computed in the previous step. Subsequently, computation results are displayed on one or more human-machine interfaces and the climb strategy is actually flown. Embodiments describe the use of altitude and speed constraints and/or settings in respect of speed and/or thrust and/or level-flight avoidance and/or gradient-variation minimization, and iteratively fitting parameters in order to make the profile of the current path coincide with the constrained profile in real time depending on the selected flight dynamics (e.g. energy sharing, constraint on climb gradient, constraint on the vertical climb rate). System (e.g. FMS) and software aspects are described.

Abstract: Offline task-based feature processing for aerial vehicles is provided. A system can extract features from a world model generated using sensor information captured by sensors mounted on an aerial vehicle. The system generates a label for each of the features and identifies identify processing levels based on the features. The system selects a processing level for each feature of a subset of features based on a task performed by the aerial vehicle and the label associated with the feature. The system generates one or more processed features by applying the processing level to a respective feature of the subset of the plurality of features. The system presents the one or more processed features on a display device of the aerial vehicle.

Abstract: Systems and methods for fusing and analyzing multiple sources of data from a plurality of aircraft-related data sources for fault determination and other integrated vehicle health management (IVHM) diagnostics are provided. More particularly, one or more portions of data from a plurality of aircraft-related data sources for one or more aircraft are accessed. One or more alerts indicative of a data anomaly within the one or more portions of aircraft-related data sources can be detected, wherein a type of alert and originating data source associated with each alert as well as optional related confidence scores can be identified. One or more aircraft faults can be determined based at least in part on a correlation of identified types and data sources for detected alerts. An output indicative of the determined one or more aircraft faults can be provided.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle navigation processing for a vehicle. For instance, the method may include: by the vehicle: obtaining reference data from one or a combination of an imaging system, an antenna system, and/or a radar system of the vehicle; in response to obtaining the reference data, determining whether a GNSS signal is below a threshold; and in response to determining the GNSS signal is below the threshold, transmitting a navigation supplementation request message including the reference data to an edge node or a cloud node. By the edge node or the cloud node: in response to receiving the navigation supplementation request message from the vehicle, performing a position resolution process to determine and transmit a position of the vehicle by one or more functions. By the vehicle: performing a navigation control process based on the determined position.

Abstract: An unmanned aerial vehicle (UAV) control method includes obtaining target flight data and current flight data; determining a control state variable based on the target flight data and the current flight data; and calibrating a center of gravity of the UAV based on the control state variable.

Abstract: A method for controlling a UAV in an environment includes receiving first and second sensing signals from a vision sensor and a proximity sensor, respectively, coupled to the UAV. The first and second sensing signals include first and second depth information of the environment, respectively. The method further includes selecting the first and second sensing signals for generating first and second portions of an environmental map, respectively, based on a suitable criterion associated with distinct characteristics of various portions of the environment or distinct capabilities of the vision sensor and the proximity sensor, generating first and second sets of depth images for the first and second portions of the environmental map, respectively, based on the first and second sensing signals, respectively, combining the first and second sets of depth images to generate the environmental map; and effecting the UAV to navigate in the environment using the environmental map.

Abstract: Aspects of the current subject matter relate to enhanced operation services provided by an unmanned vehicle with cloud-based connectivity for real-time exchange of data and command/control operations. Data collected during a mission for an operation service, such as a particular inspection activity, is transmitted in real-time to a server for analysis to provide real-time or near real-time feedback in the form of command and/or control signals to the unmanned vehicle to improve the operation service while it is being carried out. The collected data is also used for simulations and to create historical content for future operation services.

Abstract: A propulsion assembly for an unmanned aerial vehicle (UAV), includes a motor, a propeller seat configured to be driven by the motor and to receive a propeller, and a sensor configured to collect sensing data useful for determining a type of the propeller disposed on the propeller seat and controlling the motor based on the type of the propeller.

Abstract: The present invention provides a method for planning a shortest possible three-dimensional path for autonomous flying robots to traverse from one location to the other in a geographical region, including translating a three-dimensional (3D) environment, discretizing the 3D environment into a graph of many grid cells or nodes, employing a modified any-angle path planning algorithm to calculate non-uniform traversal cost of each grid cell and by averaging the total traversal costs along the path to shorten the corresponding computation time, whilst incorporating operational costs other than the traversal cost specific to the autonomous flying robots to be traversed. The shortest possible path found by the present method does not only consider the path length, but also takes different costs of traversing and operating the flying robots into account, which increases its feasibility and flexibility to be applied in a wide variety of situations and technological areas.

Abstract: A substrate working system includes a plurality of substrate working apparatuses, a component storage that stores a device and a component to be used by the substrate working apparatuses, and a component conveyance flight vehicle. The component conveyance flight vehicle conveys a conveyance article by flying from the component storage to a predetermined position corresponding to a predetermined substrate working apparatus while holding the conveyance article based on necessary article information of the substrate working apparatuses.

Abstract: A method includes receiving input data including a plurality of feature vectors and labeling each feature vector based on a temporal proximity of the feature vector to occurrence of a fault. Feature vectors that are within a threshold temporal proximity to the occurrence of the fault are labeled with a first label value and other feature vectors are labeled with a second label value. The method includes determining, for each feature vector of a subset, a probability that the label associated with the feature vector is correct. The subset includes feature vectors having labels that indicate the first label value. The method includes reassigning labels of one or more feature vectors of the subset having a probability that fails to satisfy a probability threshold and, after reassigning the labels, training an aircraft fault prediction classifier using supervised training data including the plurality of feature vectors and the labels.

Abstract: The present invention relates to a control device with control panel (1) for air vehicles and for controlling the suitability of inputs entered into the control panel (CP) by a pilot in order to operate air vehicle and to give automatic input to the control panel (CP) independent of pilot in the event that predetermined conditions are met.

Abstract: An method for controlling an autonomous vehicle fleet, including obtaining, by a fleet controller, from a master schedule, a mission for a vehicle of a fleet of autonomous vehicles, where the mission is associated with a mission entry of the master schedule, generating vehicle commands according to mission parameters associated with the mission, maintaining a persistent connection with the vehicle, sending the vehicle commands to the vehicle using the connection, the vehicle commands causing the vehicle to execute the mission under control of the fleet controller, and monitoring operation of the vehicle during performance of the mission.

Abstract: The invention relates to a method for controlling a pitch angle of the vanes or blades of a propellant body of a turbine engine, comprising generating a pitch command (ifinal) according to a rotational speed of the propeller (XNmes) and a speed setpoint (XNcons), the method comprises a nominal regulating chain (13), wherein the pitch command is further generated according to a value of a pitch angle (?mes) of the vanes or blades of the propellant body, and an off-nominal regulating chain (16), wherein the pitch command is generated independently of a value of a pitch angle of the vanes or blades of the propellant body.

Abstract: A control system includes: a plurality of sub-power managers that control respective output power of a plurality of subsystems that actualize functions of the vehicle; and an integrated power manager that performs integrated control of output power in the overall vehicle by exchanging information with the plurality of sub-power managers. The information that is exchanged between the plurality of sub-power managers and the integrated power manager includes information that enables calculation of a physical quantity that is expressed by at least either of a power dimension and an energy dimension. The plurality of subsystems respectively corresponds to a plurality of domains that each include one or more apparatuses and a storage unit. The integrated power manager plans a stored energy quantity of the storage unit in each of the domains that respectively correspond to the plurality of sub-power managers.

Abstract: An aircraft assistance method for reducing drag on the aircraft. The method includes flying an autonomous aircraft near the aircraft. An optimal position where vortices created by the autonomous aircraft or the aircraft interact with the other aircraft and/or autonomous aircraft to reduce drag and/or increase lift on the aircraft is determined. The autonomous aircraft is positioned in the optimal position. The method may include a landing assistance system with at least one autonomous aircraft configured to provide the aircraft with information regarding a desired position relative to a runway. The at least one autonomous aircraft may be configured to communicate with the aircraft through a processor and/or a display in the aircraft. The autonomous aircraft may be subject to a drone control system for a plurality of drones configured to position the plurality of drones in a formation.

Abstract: A supervision method for a flight state of an unmanned aerial vehicle includes respectively establishing communication connections with the unmanned aerial vehicle and a supervision server, receiving identity information about the unmanned aerial vehicle and flight information about the unmanned aerial vehicle sent by the unmanned aerial vehicle, automatically sending the identity information about the unmanned aerial vehicle and the flight information to the supervision server in an on-line mode, receiving at least one of a flight restriction instruction or warning information sent by the supervision server, and forwarding the flight restriction instruction to the unmanned aerial vehicle, so that the unmanned aerial vehicle executes the flight restriction instruction, thereby restricting flight behaviour of the unmanned aerial vehicle in an on-line flight mode via the flight restriction instruction.

Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: This disclosure describes systems and methods for virtual parking lot space allocation. An example method may include receiving, by a processor and from a first vehicle, sensor data relating to a first location. The example method may also include generating, by the processor and based on the sensor data, a first virtual parking space of a virtual parking location within the first location.

Abstract: An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

Abstract: Systems and methods for displaying a scorecard for rating pilot performance by registering a wearable device based on the identification of the wearable device through pilot profile data, location data, and an identification key data received from the wearable device; linking, the wearable device to the avionic system to receive flight data, and to a cloud server to receive computed performance scores for in-flight display by the wearable device; alternately, in response to a manual input action, authenticating pilot identity to enable pilot access and linking of the flight data to the cloud server for display; generating a set of flight components via a model specified for a flight phase based on data from the wearable device if available, and the flight data, the model includes flight performance score values; displaying a flight phase performance score; and displaying on the graphical user interface in a cockpit display the performance scorecard.

Abstract: An autonomous mobile robot (AMR) for transferring a component part in a process line of a production factory may include, a sensor unit configured to detect an obstacle in a travel path, an interface unit configured to identify coordinates of a waypoint and set an accuracy zone having a circular area around the waypoint, an omni-directional waypoint generation unit configured to obtain the travel path in a curved line which is aligned to tangentially meet a tangent vector of the circular area, a driving unit configured to generate a driving torque for driving the AMR, and a controller electrically connected to the sensor unit, the interface unit, the omni-directional waypoint generation unit and the driving unit and configured to control the driving unit to move the AMR along the travel path toward the waypoint, and when a current position of the AMR enters an effective range of the accuracy zone, to move the AMR toward the destination point without further moving toward the waypoint.

Abstract: A method may include receiving, from an unmanned aerial vehicle (UAV), a first message via a first network using User Datagram Protocol (UDP). The method may further include determining whether a second message that is identical to the first message has been received from the UAV via a second network that is different than the first network. The method may additionally include processing the first message when the second message has not been received and discarding the first message when the second message has been received.

Abstract: A management device that manages a flight route of a plurality of unmanned aerial vehicles (UAVs) includes a communication unit that acquires a detection result of an obstacle by a first UAV including an obstacle detection function and an evaluating unit that generates evaluation data of the flight route for selecting a UAV to fly on the flight route based on the detection result.

Abstract: A device and a method for controlling flight of an unmanned aerial vehicle are provided. To efficiently acquire environment information required to generate a navigation route of a vehicle, the device include a receiver that receives departure point information and destination information of a vehicle. A controller that generates a flight route corresponding to a travel route from a departure point to a destination of the vehicle based on at least one of a sensing range of a sensor mounted on the unmanned aerial vehicle, a flight available distance based on a fuel amount, and a communication available distance of a communication device mounted on the unmanned aerial vehicle, and operates the unmanned aerial vehicle to follow the generated flight route.

Abstract: A device for sensing a physical parameter includes a sensor element configured for measuring the physical parameter and for outputting a corresponding measured signal, wherein the measured signal is influenceable by a sensor drift of the sensor element. The device includes a corrector for correcting the measured signal output by the sensor element to obtain a corrected signal, wherein the corrector is configured for evaluating the measured signal to determine a drift effect of the sensor drift on the measured signal and for correcting the measured signal so as to at least partially compensate for the drift effect. The device includes a signal output configured for outputting the corrected signal.

Abstract: In an asymmetric operating regime, a first engine is operating in an active mode to provide motive power to an aircraft while a second engine is operating in a standby mode and de-clutched from a gearbox of the aircraft. In response to an emergency exit request, the second engine's speed is increased, at a maximum permissible rate, to a re-clutching speed while increasing the first engine's power output at a maximum permissible rate. When the re-clutching speed is reached, the second engine's power output is increased at a maximum permissible rate. In response to a normal exit request, the second engine's speed is increased to the re-clutching speed at a rate lower than the maximum permissible rate. When the re-clutching speed is reached, the second engine's power output is increased at a rate lower than the maximum permissible rate.

Abstract: Examples disclosed herein relate to generating continuous visualizations of beam steering vehicle radar scans by acquiring data for a beam steering radar scan, generating a Range Doppler Map (“RDM”) corresponding to the acquired radar data, displaying a visualization of the RDM showing a plurality of identified objects, shifting each identified object by its velocity to generate a shifted RDM, and updating the visualization at a display rate that is higher than a radar scan rate to display continuous movement. The display may be part of an augmented reality system presented to a driver on a windshield or dashboard.

Abstract: A method of displaying an electronic report on a GUI that includes receiving a user identifier and an authentication identifier associated with a user gaining access to a first application; displaying, on the GUI, a first window associated with the first application; displaying, via the first window, a listing of monitored flights; receiving, via the first window, a request; accessing, using the first application, a second application and a third application that are different from each other and the first application; updating the displayed listing of monitored flights using information accessed from the second and third applications; wherein a flight has a delay greater than two hours; and receiving, via the first window, a request for the electronic report for the flight; displaying, on the GUI and via a second window, the electronic report for the flight that includes information from each of the second and third applications.

Abstract: A method for monitoring a condition of a VTOL-aircraft (1), preferably an electrically propelled, more particularly an autonomous, more particularly a multi-rotor aircraft, with a plurality of spatially distributed actuators (2i, 2o), preferably propulsion units, wherein a primary control (4.1) is used for controlling a flight state of the VTOL-aircraft (1) and at least one secondary control (4.2) is used for controlling the actuators (2i, 2o) of the VTOL-aircraft (1), preferably the propulsion units (2i, 2o); during operation. The primary control (4.1) generates a primary data set, which is subject to a first uncertainty, and is entered into an estimation algorithm, and the secondary control generates a secondary data set, which is subject to a second uncertainty, and is also entered into the estimation algorithm.

Abstract: A monitoring system and method are provided to monitor ground movement of aircraft driven with electric taxi drive systems and movement of ground service vehicles and equipment and personnel within airport ramp areas. Monitor and sensor devices, including those that are intelligent and employ scanning technology to generate image, positional, and other data may be mounted in locations on aircraft, ground service vehicles and equipment, passenger loading bridges, an airport terminal, and other ramp locations to generate a constant stream of data as the aircraft moves into, within, and out of an airport ramp area. The data stream is transmitted to an artificial intelligence-based processing system to identify and communicate possible safety hazards to multiple locations so that the aircraft's ground travel or a ground vehicle's travel may be altered to avoid identified safety hazards and to avoid collisions.

Abstract: A takeoff and landing facility management apparatus 4 transmits an information request for an unmanned aerial vehicle 1 to an unmanned aerial vehicle traffic management apparatus 3 in response to receiving a landing request from the unmanned aerial vehicle 1 that asks for an emergency landing. And then, the unmanned aerial vehicle traffic management apparatus 3 transmits at least position information of the unmanned aerial vehicle 1 to the takeoff and landing facility management apparatus 4 in response to the information request in a case where the unmanned aerial vehicle 1 that asks for the emergency landing is in an emergency state.

Abstract: A system and method for pilot assistance in an electric vertical takeoff and landing (eVTOL) aircraft. The system generally includes a pilot control and a flight controller. The pilot control is attached to the eVTOL aircraft. The pilot control is configured to transmit an input relating to the flight path of the aircraft. The flight controller is communicatively connected to the pilot control. The flight controller is configured to receive the input relating to the flight path, generate an output of a recommended flight maneuver as a function of the input, and display the recommended flight maneuver.

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.